{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from math import sqrt\n",
    "\n",
    "import sys\n",
    "sys.path.append('../../../')\n",
    "\n",
    "from fedlab.utils.dataset import SVHNPartitioner\n",
    "from fedlab.utils.functional import partition_report\n",
    "\n",
    "import torch\n",
    "from torch.utils.data import DataLoader\n",
    "from torchvision.datasets import SVHN\n",
    "from torchvision.utils import make_grid\n",
    "import torchvision.transforms as transforms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "def dict_value2key(d, value):\n",
    "    return list(d.keys())[list(d.values()).index(value)]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using downloaded and verified file: ../../../../data/SVHN/train_32x32.mat\n"
     ]
    }
   ],
   "source": [
    "root = \"../../../../data/SVHN\"\n",
    "transform = transforms.Compose([transforms.ToTensor(),\n",
    "                                      transforms.Normalize(\n",
    "                                          mean=(0.5, 0.5, 0.5),\n",
    "                                          std=(0.5, 0.5, 0.5))])\n",
    "trainset = SVHN(root=root, split='train', download=True, transform=transforms.ToTensor())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-4-d6f1d3faeabc>:4: MatplotlibDeprecationWarning: Passing non-integers as three-element position specification is deprecated since 3.3 and will be removed two minor releases later.\n",
      "  ax = fig.add_subplot(4, 20/4, idx+1, xticks=[], yticks=[])\n"
     ]
    },
    {
     "data": {
      "image/png": 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qunN0GPI8AOOhHXTwMbOdo5h29wGYZxGjqm98/cvu+q037oQ8Dw59GVPsgtYTM49ZCSYosUqsgjzMEoRY+NhXHvjrX9qLBl+Pd3x9f/qEjOtkPtrf8XX51kHM85Nff8Ndf/nB9hsnTiaVfeXH7rm0CzDD7OrYDmnu80x2Y54CO52Z5dZHw5QYTM0mPhhnRtYFdQzYOzO/oHlwGI3ljvZ8v79/J+a5c+S/ZUqGx57E/QLMq9ar+P2fHfu16sPT2BPe/+RpSHvvkb/vdBnXU8MEDJIqYmZJDJmwmUr2b1Jg7IpmTNtJsmgEdd11ZGMTrGCexQy28Dq+fwhmVmYDzG/R8MpsGPD97Ntg/Cd7LWYaV8BEkcgYjaZXVRWfU5KYxrSioC5YkCeWe72OY8pyuYQ8xEw4GIzJBEsIIYQQQgghhAhoAyyEEEIIIYQQYhRoAyyEEEIIIYQQYhTcUAMcf/MdfjtPtHFd538DvhqihqIqZiGt6Pz+vB5icfuJf1aR4u/UJ/Gn44Y/sW8t6miqBDdO498LvvzOrn/uOopWPngY378A7eyMqLUmoOGs0m7IUxLt5yef+LSTM6L93PHa5eYotskDol87KECz2kbt9OV7Pi1/xlRn20VhZjPQZCxKX6dTUg27Ex/3y4uoD3l0HtPK1gdwUxFdR+2fXRN5xtmTGPePTry2L5MbG9DgPjiMsTk/8PVREj3O/TLG5tkn/vrySez3Zwf+/bN9ovMfyN/3Ct8mZY7PTsn3xb5gGrvYX9val2lKvhfHtFSQwWmLSClZgvpLoAmqyhhfVfL3zOrYTtNpbJcZjNGHRMv69lt+XLv/9lHIc/TGQXzf3McYsaSweub1mUUT348jLZFEUS8NrCXWn/CuOKuaEQmlzeHh93djf9qHMeaYzONMcrcDWvwHB7FUD2CsIBLSrWNnp7F/8jd/zaV975Efez89izW6LiAtkfVUTXSGoCUtWmLgsfLP2pnHOHznbmy/r9z3DfZj78b+swNd4TBaoxhI+I0MDRZXeGb5jr9xFavEvgLa/zPit/HdN0m5f+Vjd/1Ln56HPMedX3OtibC/I//e1EOPGcj6NfR8qg/dPhKMgfE61kNII3nYKJWhjvH684c95+rXiOsCXCowDXDf+0xUypoxkXw/8XTBOmE6XdQA100c/yuy/6ph/1eWZN6C9zOd7moZ10Hn597XZbmKnhM99DtpgIUQQgghhBBCCII2wEIIIYQQQgghRoE2wEIIIYQQQgghRoE2wEIIIYQQQgghRsGNTLAKK20XjJiK7om7XjdRhFyBdnlYRhF2N4/WHAUYPCVilBVF7nFPn4mTwgD5KosC6w7McBKaT5jZbMc/u65jGcsyPrvs8QBp8v1g6FKS96+Ij8Wjx2BMNo3vb0AI/2A3OjTtEwOMofRi9UkfTYyO5v7bHn+y/Qe352TWV2CC1Pvu1ZE/N+UM5h1FdObo+ujoMYOktBfruIG+uE4xxh6dRtOEvvJpFYnNe1Mf50c705AndsVorDDbjZVS7fr3L6+i0dpyCeYhJH6N9Jcmg5HREE2KhtK3QWZmQ8Q8q86+L5TErCSBMVrackOTIUdDmhICYyii8UvIQ0yh5jtxrH37nfvu+ps/9m7I8xM/9VV/z9feCHlme/HZ1Y5v39OLy5BnufAf+w9/+fvxOYWPwaN5jMFvfikaENbQxRpqguKJo7MRmxSzPQjnLx1FU7vvTPxkU3XElKQgZo6Vb7s7R3EcOAIfsuZGK5PXk73dif23f5s3wbr7XT/W/d3vHof7Pj7xA9Kqj+NjGogJ1srH69DG+N0DF6qvPoimUD/55RibX3vDB+fb90OWYGjF/vUlpBFTmzLFb0Pz0wnxktrb99d392Oe/f3Y73f3vuKf897TkOfbH/m+8dHT2MvO1/FbCpgTMxnnBjBtKr7AfmnbuM70ahMTrM0ssMi72Z3BYCtmIf5SVkC84rWZWQ/rgEziPhgOM7+nDTygmC8Ymlfhuz5PDSkYi+TTgukWM6rquthfVmB6tVrFtfEQzMNkgiWEEEIIIYQQQgS0ARZCCCGEEEIIMQq0ARZCCCGEEEIIMQq0ARZCCCGEEEIIMQpuZDWRisGaHS9MHipvilQSc5h28CYN/ZKYAczIXjx5Q5F1Gc2AGrit6KPCuy+IMRYYXLUWnz0ZvJNCRb5tDc/pC/L9/Tqkgc+QpUks9wwcTHIVzYiePolGJFeojk8xz8HUf9u9vZ2QJ5HwKECsXxPV++TA37f6JIrXt45kljHOwG0g59h+dfJ1U3TRvWMew8fWaBBXx7Yqa/++dhnznJ3Fh3fQ7sUkOq3dOfDmKJMiGvlkMHory2jWYsSspKq8MUjfxXrLV76um3V8UCKjWxr8fWi0Z/bM0MwTxytmroFpQ47jTg+GEKRLbxUpFVbW3qCsSD5WuCmJb5fpXrRzevfrb4e0f+o3/5S7/g1geGVm9g6Y+OwfhSzWkga+hCni/Y+jidDDR6fu+vTkIuTpWx9PxGvQVscnIe23/le/7q6Z3UcNlUn8H+mk30C+u+iKZWb74Cy0N49tsiJj3C4Y5B0e7oU8UzD42n7bRLO6Mnv7rk87WXgTpvc/ifd98sjHXe6jqRirv7L364BDEnhff+fQXf/MN9+MeR7EoLoPywdiSRjGR/avL+HJJBM3gfK9IZMbV2sfm5Mqzhn3iJdj/WXfF6pJdPhatt4Y68nxZyHP41NiRrrnA4BMGWEeyWPoHSlZAeun665ZGvEUMzZ7Y7aBmFNirQ/kOcyssYA0NGx79n7cj8RxtOt92kBcsDIxv0MXz0zuG2BdNJA901DGcg9gkDqQ+s75ehMsI+UuwRyzInurHuotJZlgCSGEEEIIIYQQAW2AhRBCCCGEEEKMAm2AhRBCCCGEEEKMgpsdN5+SdfC77JS9/qQh+oQexHgX+dOQ5056N6S18Bv7iuh0yxI1qXFPX66isGNdeD1GJhrGoQR9ZIq/y6+y16rFEppNFvH9K7wPxcxmNtRwEDjRN58/ib/LD7+5J7+dr/ZAh1bGMnZDfHZdgma1iPrQneR1TEUZNUrbRrJkDXQnlDo0RLWXof+0HdEwtDE2UuXfVU9i5GVo9/V5jJ/1KrZNVfgyzIiiq5pAvBDB7VDBAfBF7D+JiIAb6GdFjn3zYu3777KIWst5iuXOoD/tqZ7MUyXSq9lh7vB9dSLibWjvbRcBp1RaPT30aaVvg4tLr5s1MzvY23XXd9+5E/L8up/+Zkj7Tf+k1wB//StRpzqBJhhICBCZlC1Bwn5GNH2nZ35cP7+ID1ovfFycdXEMPZrGfoFqddTtmllQjmWqXydzJFwTeWTQEyei92X9ogXt2qKN/WI5eBHpdAR/mi8samW/8sBf/9JeHPseg6b6U+IDgv4TZmb7O74vvHUQ8/zk199w118met8HuyHJGggFEr4GYWAFyYNk5qPQxzVmAd4KbFSfN/6Fa9LJK9I35vCwr9wNWezRW94T41d+5aOQZ5LJ+nWAvtHFtqwav56yYbvnDLNn7Yda7+uuWVpikbCBgQfGkxnRAJM+lsl9OLiWBYlfGN1Tjt4kaLfTsb0W0wX3qI+P9+E8kbGzmlnuY5mGHvcaIYul4IUT3495zMxqWOOy+3qYb5gE+nmMYJoRQgghhBBCCCG0ARZCCCGEEEIIMRK0ARZCCCGEEEIIMQq0ARZCCCGEEEIIMQpuZIJVWGG7BRgcQR48rNksHka9WkTBc0sMNfrsi1dYNGqqejDlIgchd5NFSMudV0vPieFTn/239kU078jZ21iwQ57XwzKk2eC/bU4Oma4qEMYvd0Keq1UUppcgTG+IMH+v9s/KxIwnlUR0js/KxGgIvq0gphXbRsqFVZ2PlxWYJ3VVbIdJi8YclyFPJuZrRe3ruKpjnhoscS4X0RCoJ8ZUNcTwbBrzNBM0uGJGLP7bihzjdxjiEJTXvt7WfexT85VPW3XxOTNmiIc2QQMxaINwHYhBXk/KXUB7Z1K3A4yY1fp6E67XmSGbXa3hsPraXxezOIYcvuWdZt795jshz1d+3ddD2htf9jFex6YLRlHMOKMkfxpGD5DFZbzx5NiP9Scn0ZxtvfCmV7tTMi7MYl8Bb8NgimUWjap6YniyCZfn0bCnbcHkrZqFPB15XT/4Rjg5i/35CfqgkXbbNgozwxEZDZfu78bxaR/mkeOBGCCS9+2AGeWDg9h+Dw584B/GMLQZMa9CD0807DGLxmrEZ85wqbAmQZ6Jax34NtpkA4OtghgNkSnaGvP1tlvHTPfnvgK+dBAr7nwRg/oETC+LdH3BWd2OA6z3692smAkWnXHRkY0ZI0KMF8w9kf6bIph3kT0KukcxE8YMscLWhWwuG8A8KjOjLChjJvuYTdJYHjTkY3ukkphgTRrfX8oyrrlkgiWEEEIIIYQQQmyANsBCCCGEEEIIIUaBNsBCCCGEEEIIIUbBjTTAKZnVoH+oK/+j61UXf9+dQN+7WjK9LdE5Vn5/PhB9RIlioRQ1lAM7TL0BXdqa6CNBdNWWUTPSgM6wDwozs44c4FyWPt8wjc+egmZnsY5an1VLtNPwuZNJzDOZ+zQil7Qmx/pG2UNFtJADaGta9vAtI5tZhzoSoDaikwVh1HIdn8EOV8+1f9ZsGu9LUO/LddSi557EfeO17jMSPw1oxov+TshjFegfifalTlch7Qq070NDhikI8hYFksZjswCxWFfG9+Ojio7oMctYJ2X4eyIpN/gI5CL6GmwVKZmVfozOcMD9t37iW+G2t760567vvH0Q8hS7UVPXQttF1wazHobRijQTkxKdn/nr7333k5Dn8WMf85NJ7F+7u/v+eko07rtRn4nDMZlqDUeBgXwJ+zbU7j55ErXLSxg+zi/ikxZDHOsv4cbT46chz8Wpb6l70+0XASez4GqyB7H4paPdcN93Jn7Mqro4r/QoijWzCayn7hxFffHRkb9mQy/V7oJ4l9g2BJ3h46ex3A9Pzt31kkyZcZw1m898vDy4E/vPvbvgSVHE52SyfiuyHzCaFGPzAGwMjnZjvz+cx/edn/p6Y1pI7GWZrCfHCKuGkEbykCoOayWaCZ9F8iT2b4rw7IL0IJTFDj1Ze4MxRU/W1UzzjOVmOt0B7htIB2ZpGfr9QMad8BymJSYNVUH/DG1kZiWIfm/aM7Z/ZyKEEEIIIYQQQpg2wEIIIYQQQgghRoI2wEIIIYQQQgghRoE2wEIIIYQQQgghRsENTbCSleAYUhbeSGE9RNuRsvTS5IQuTcbNnHYnaFoQJc6p8AYFA93Tx8+sQDzdVVGYXfT+21hloalO20bxetfFMg1gInRYM6MhbwSz7MnB7WtilgLPntbx22a1//5iIGZIzNMpeXOUXBIjGjB7apsRmDakbEW5hiTf7isSQWg0li9jrCxSbPcdiLtdYqaUk39fvY4GCfN1NELJpX/2pIqBgH5fHTmU3aBvpiE+px1i/OTex09VRSeUAoxIGmK+syqiaVwN41WRmdmOvy+n+P5Uspj2bcB8NGowVGmvMU573Snr2o7e/JJLq+b+m9/5xtfCfTs7PgavutiWH3x6EtIO97zB1BExnrHW99OdWYyB46fRMO7xY5/WLmIMTErf53ansV/OwTDn3p04Lnz96++ENDR4GYbY54YCzeFClmBkaGbWwaOeXsR5fNn6Zx8cvRHy1H0cTxZrP2ewZ7/34cJdnzRxzNs2ksU1RQNtcxddscxsH9ZFe/M4d6+Iqejujo/Fw8O9kAfDdeOZu0TnwJjlFEzkfvmDz0KeDz585K6vFvE7WrJWvHvojQp/4usPQp6jO2+665KYqhbEBKsEgyA2YjeQWJG1anA6MrMKDC65iREYtpL3bx05mn1dd715HuaCBXsUUsspTOib5In5WJ4C0vCa3ceew8yk0PSKmVAlqKeB7NH6Lo7JHcw37P04ivQ9Me4lc1kH+YYhPhvNu26K/gVYCCGEEEIIIcQo0AZYCCGEEEIIIcQo0AZYCCGEEEIIIcQo0AZYCCGEEEIIIcQouJEJltlgOXkDiwpdG4gxSDn41/R9NMHoVkQYXu+66zpHEfaAJgKZGBsQIbz1vky5jM8uzKe1mRhFFT5PXsS/KUQ7FbMayr1HzKTM/PsKIgKviaDdVr4MZY5GWQUYHXXEKIvp+avOu2T0FuukvfRtMBsuQp5tI1u2FsyqisG73RQptl/X+7QrYuaUsY+ZWV15s5myjOYzJZgydfVpyNOXpN3xXQUpE8TUQEyhph3EBus/C/Jt5/66tDhe5F0wBqljGZsUh7chOAnFekvQN7tE+hgZU9BThXltWLcLCdttENfMZvaVn/4pl3aw78e6fTCwMTObTX1ldqvzkOd7YJxkZvbk+D13Pa2iuUZeX7nrihjfdAtivGY+Vrp1NOaaNT7m7h7Ecf0b37jvrn/9T70V8hzNQ5JVEE8lJpjZeoAxqIjxHXuT2Xuf+OvPTuN8eLz09bQk8wqzruph/m/qo5Bnufb997jb7n7xa2AL4uqF+A8Gv6lEDK+Y4VILpjKLlhidDb4vTsk/kbB/NUGrN7Z2eHLh3//Jk8uQ57MTv1paXMV+eHkR1xNXVz7t/p0Ym/0AJlhYkWZWWOyvBY7RJDTRbK4ja7WOtEmRYI1HJo3wKPLsbSNbfkkmWMQois3dYDTGvZV85KfEesIG72Pv3+D1mEajgHmvocEViUM0r0rE8ArXRWbRiCtjPT5LdJfMBGuxirukq6VPY/fFNriZKZb+BVgIIYQQQgghxCjQBlgIIYQQQgghxCjQBlgIIYQQQgghxCi4oQa4sAo1EiBSKclvwGvQQq4taj9WXdR1lMOBu+6JhrBCXWWOe/qSaPgGOKi8LYjmC/QZVRf1VB38dv6SaJfKMpYpgfZyqKPYB5NSFb9/2URtXEIl0SRqfcrs6zbnGAo10RYV2at9mOZ6uPDfVq32Q56tI2Uz0JEXoFln0p0L0PwWXdQwlD3RE0FMZyIhrwrQ6xdRWLhOJO6nXiO5rsnDk4+Nhuibc/L9JRE9zpJ4BqxBo9KR/lOUXh9STMi4k9n3+jL0NVXo+yvSJgUZi1A1k8lY1IEmM1ms/22iKEubHey5tHoH5oxJjC+suj6oDM2GFMfjFsanoYv1W0IcFkXUO/VkHps1vtz7d1HPbfbGPT/Wvfv2nZDn3Xf92HsnSqDpX6YTzDUl0TsliC/UJpqZXZKQe3Lq+/PxedQ3H5/78SRNYsEz08BBUlESbT7o9ddbro3flEvSDm3r26quiBab2Z4Mvp+dnMUYf4I2EWToJ7YJ1kMbP/osFuA77z9019//5CTkeXrm14FtG7+/J2lF6euA6XvxNiKvtkTuQ0FzS2SOS1hiLUgD9EQzmkFXWQ4baBhH0jXwM6+7/qK0l8cmbUNKsEnBX+DttDRUPIymAZvoZEkeWuHoqUL0xRtogFvip7G88uvQjtxXoPHKRt/2A/ffKLcQQgghhBBCCPGaog2wEEIIIYQQQohRoA2wEEIIIYQQQohRoA2wEEIIIYQQQohRcDMTrJTNai9ynsy86LhK0TWhTQt3nYsolL5YRyOSZQ2mQkVUYddg7LAoo+FTIsJ0NEJBgxEzs9rAqMris9Hho13G51Tk/S0YGxUNEW+DOcuUmL5k4lLRgh3PKkXxeFd4gfm8is8ujLwPTJvaq/htZyv/vnUT379tJEtWh+4EZiXk703TpW/3gRxAXubYDqnxsVgyRw+w+WhmMX6ZoUnRevOodhXvq5I3LSgqUgB0/SLmIaeXMXEFjyrIAexD4eO+sb2Qp0ux3Ln2bVCTCmjRAKKKrkFtH+8rC18niRiaYN8st7xrpGRWTHy/GGD8J/57NmAbpJipKqMRWYI+llsSA2BwVRSxEfZ34vveBoOrB0fRZO3Lb931ee7GOJnDbcx3h/qN9L7ciXd6B/iImJnZw6cx7dETbwZ3Qe5brrFUZK61WJfJsL7jGIcGJ+mGZiavK1ij6J305Ek0B12Cb9/5RYyWxRDnmku48fQ4BsLFqW/Te9O4vjggpnU1mGFenqObltnJ+Ym7XhexbxzcveeuK9I3Z1X83q++6fvdl99+EPKQaSRApqgQ5cS30R5fdHC9CHmuyPLRChjDWAFwHmVGS1tHIuZN/pJ4asZxk5hzsrEF0zYZf2grMA8sNIEi7TdAOTN7P6QVJE9BDUNhTmT2bzAnlgV5zgZpieTBeKV1y+oE5oSOmN+lsJeUCZYQQgghhBBCCBHQBlgIIYQQQgghxCjQBlgIIYQQQgghxCi4kQY4W7L14G/ZAR3WwyFqPwb4DXpJDgQvyO+7h+Q1K6Ud0DJ5yO/iiYYSPsNKoqUd8FBnokObdPBtq6gXHIjOEPWYaUK+P3tdYz2L2qlmN2pk+kv/vnJJNJQdaB4KJsQj7ZR8nVyt4/svQN9sRPO9fSTLoGlCfcJA9HGrwae1pM57IhSdTn2cFRXR94KG+3A/xsG0J+0O+l7rYt9AHdQkz0KeBrUvtgx5TpjWsAQ9So7fvzPxz65T7Bs90ZiVA/Yz8jfANHWXayJSrfEAdjMbQN/bkLGo7v19S6JR2iZyMhsgflHv1A1kDIPmrMn4VBMtU+5Ah93FcbWBcN6fxee8fX8/pH3jHa9PfOtejPmjXX9dMUkSDIdMytsTbXiGmGOj6hVMPx8/ibm+++FlSPvooe+I+Jxn7/Pvr4l4uSB+EzW0d010nV3rta5M37dtZEOXCLMOEp5exHF92fox6+DojZCnJh4Fi7WvY/bs9z702tWTJo6ru5OYNoDvx+rqLOTZO/SN+tWvfiXkefetQ3e9H7uY7dZxzL6362PzkNyHFjJkGUpm6NjPiLzXjs+g3k5jHzu9JPPvvl/jUX0qzCOZ9vwtI5mlAteoz7+meUgjb6IBDvpji+3ABinq3UDSItfvY1LhYzwR35WCrOeqGjS4rN6glHVN9iw1mYMbn8Y0yLiPYvU/nU5DGmp+65qMOyHlZuhfgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjIIbmWCZJUtgBNU33gSrJ4YeE1Aqd8Q84zLHvXiF5lFEPN3DoejkjHRilGWWwawjE6OsBp41lNEZZAlGP0/Jd+C7zMzq2gu8p8TkJZfeUKye7IU8D8p5SPtgDcYvxNnhovOC8nqIRkdzYv5TJG/2cEaMNNAoLaXtN21IubCy884bQwZDntKbkJiZrVrff5akAzVlDOopGFyVJMas9MY2u7PoDLK7H+P19NS311kbnap2Ln0b39+PbZzgcPVF9MCy1UUs93zpY3GYxjLWcx93RRXfX5DhDQ35BjRsM7MSyl0M7OD6aMiQwEgvE7OfdenL3eVJyLNNpJSsmfp2mMJQMxATrJRx8CXPZu4ina/fGek7bx3suOs3j2KeH/9GNBZ6+4HvcztxyggRhz6KZtHcoynjg5hBzwpC7oL0p0+P/fUvvx9NKf/Re09D2gfH/uGny1iADr0Nuzj218Sw73DP18qM9NXV0j+r7eOzt41sZviV733irz87jePM8dLX8ZIYEMa7zHqYl5v6KORZrn27H2Ojm9nxRXx6Wfj7chfXXHMw7fnJX38/5HkDvOf2SD+YEoO0CaQN61juuvaZ1mTsZ651LTTSP/x73w95PvjAr4tWi2i+163isztYh607MtdNvEFQVUXDoG0jmVkB7oB4XZZxfse0guw1mAlUJnuLWKYCrjc0wYK5jBtlocEXMe8K3x/nDYzxZ8+CeiTzbQF1MiUmWNNJTKvq6+sbTbAw5s246dYM1qtrYpTcgltkMC6+Bv0LsBBCCCGEEEKIUaANsBBCCCGEEEKIUaANsBBCCCGEEEKIUXAzDXDKQdc2BfFFRX5LP+Bv54l4KxE9RgfCr4E8uxn879vzhp+Uel8mInWxDHreXMTfoKcefnN+SXSzRCtQJV/uaYo6ngp0yamMuqjDt6Nm9OML/zEnbfzN//TcX89m8dt2mqgLXoEu+PIp0XB2Ps/ABG1bRrZsHSivatDltinqPTuQle+2UQuxmkXt+az2bTMd7sQyFT4Oip0oGnzj7fjss6WP19OLGGM7T/yzd4g+vit9GR99RgwCiHQ5Nb5P7ZLb7tZeLNYRPeYuGVPycP2B83i+/SovQp5lH2N6Xvr27Yr4/h40yEy6vU2kZFaBLqipYIwkmqACxqyCiIDLIY5Z08KPkW8cxjHsx945cNdfuh+D5ytvEg0UxGEiWir0qajJ35jrhgQrgDYOZmYfPfJ97LOnMdOHD71e/1c/jhrg9z6LXgSnrdcV9mUcqyr02yAa96Pd+L3f+rLXmn7pTvz+vvVl6kjb/h9DyuvNkM0uYUh+curr9Pg81sPxuY/xNNkJebjvib8uiIZyAI+XNVEs9pn4H8C4ul7EtcpdGKSJTNdQnlmQMbQm34ZRR6xYNoIMRXZ+Bvr4k7OQ5+zE97vVKs6H83nUXLeoD71eirqRXvW1JyUrQAcbrsvYyJjG9L4kfAJMpzugLwVZX/RsH9PBPobIVLNtEAfw/QnnUTMryccl0N7X+B0W621K5iimC65q/2y21EePj7KMC7qKfMt06ueklnTOtvPjYy8NsBBCCCGEEEIIEdEGWAghhBBCCCHEKNAGWAghhBBCCCHEKNAGWAghhBBCCCHEKLiRCVbKyerB75n3am/ehIdVm5ktwUQmEfOMch3NStZrb6QwFFEE3Zu/rxjYAdLRkKAA86quiOLpBpToBVF4r8DwiR0y3ZByo8h8WkYTrJSweaJ4/eDoPKTdf9MLwz/7NDbzySP/rDkR7692Yr2dn/t6Or0idgFTXwdVvpkw/bUk5RBnAxi0DSQ2u0uftq6jUVVDTAtmM29S09fEJAjM5rA8ZmZ3j6JpwumbPl6ffhb75smnPs+SGPKs7dLnWZK+WccyFS28L3q8WDUD0wZiSoVjg5lZLnz9JuZCBdV9dRXr6OFpNEL52tcO3XWZyfA6+IenFM1itoqcbWh9rGAYlmgkaGYGB9w3VewDu9OYdgSmjF//Ugyeb77r0+7uhyw2J8ZrmNS2pO1g/ktljMEWusrpBTGzehTH9V/98Km7/v6jaM72+NLX28ll7BdXPTE/qrzhSNlMQ57J4Nvx3l58zlfvx7Sf+eauu/7WuyGL1cQgcNvpWrOHj33aoyd+fLrw3kpmZrYM7lExDhNxF0xgJFeQdUkH/S4Rw6WcmXOff3ZrMaYH6AtsVYBT5EBMfYg/XFgZ9WTNkWGOKCtiTkqePZ/71LfejIaTH1+A+d2T2HBrMoYVOKiw6Qjm/2DGtIUki2ZJJRg1sfU4xusmpmIMrHMzsx76RtfGGOuI4SyaYLFCFSEQiJkVGHoVVZykUkH+TRM+pSDGYFXl72ua2BNqZrqFpmPE4Ljv/fsGso8pSvK9+P4hvr/t/ZjS37Bv6F+AhRBCCCGEEEKMAm2AhRBCCCGEEEKMAm2AhRBCCCGEEEKMAm2AhRBCCCGEEEKMghuZYJlly2BdMG28EHtGhNnt2qdlYsaT+ygev1x6U6GSmDagUDoR85KcoxFJB2L5uoimI/3g78vEfiFd+Srsu1jGlpgt1FBvaULcD/BbBmZ0VIe0Nx/4fH0X339+7o0zPvo0Gmn0xJGh6MDYqY5mKRW0SjdnphnbR4b2ymCCVJP2s5X/G1RFzJysiN20Ac+YaYpxtwKzgzzEOGiqeUj70j3/rJoYc51eeROo5YKYH7Tw/f1uyGNDNH9rG/++vf0YP5Opj7u2jN9fEwMXy2AeVsRvK8BIoZnEb7t7J5orFdAXa1LfGTp1Yu29VSQrwcwvgSlGXse2q3o/Hs3q2AcOY+jYGwe+ft95I2Z6AzxsZmQWTMREp0KDlWBcYlaUPgbaIcbO8Ymfaz765Djk+aUPHoW0J5e+TJ8SE6wzGE/aai/kKas4ZzRggkL846xd+vmvLuK3TYiZ5C4864A8Gy2wtr1XmJmt1oN99wOIhYfePOkq+lDaAGNITQxkCmLuV4NBTU3MSLv2wl0zE6FEjE7RNKgkcdCu/fuOT+Ozj2A5UcfpifkDWQmhOCHrUCzRpjG2B2X4dd96K+Q5L3w/+9WH0QRrcRXrJE5RsU9FE6wxmIqmYGh13fXnt/lrFiykjjGNm2CBcW5PTOS62KdaMMtKxLyryGgmxUyhIA9bKpLPRbOwAsd6M6ugv1TEnBQNr8zMoudWrDcsNzUqDilmBdRBQebSBOPMTQ3ixjDPCCGEEEIIIYQQ2gALIYQQQgghhBgH2gALIYQQQgghhBgFN9IAZzPrQUkxTLxIpWmiwCddXvoEoo3ryU+3L1ZryBOf3SSfljI5Jp3oUere/8a9y6QqQCNT9ahUMjvrQJ8RhLtmNdEO70x8HUyIzrOHX8avUehiZg0Rax3MIO2tqEd5uu+vl8uoJ1utolasPQXN8zqKdIbGt9vuXnz2tpHMrM6oUYG+0sY2/qz0faMrY555E4Vg04nPt04HIU8GDXeuiIadHC6+v+PjrCBl2t33et5hFfv0k2PfFy7bqMfEGDcza6Zel3uwG3Xm08b/7W4g4hf2bQZ61DKR8Qo0VvM69oPZLP7tsIaktozt1sAYstpyPVeRkk0rX8fl4OOyW0b/gXbltZHNnGjV7+yHtJ/8xl13/fU343g8g6TUxffXRCeVYLqs6hg7l/Atn372OOT56OOH7vrDT2OeJ6dRm95VXnfOYrCc+/jKFRHcTu+EpBPQDr//8achz3rlx/Fd4h/QHsa0GXRfUiIz8M5g8v1tY7Fq7R9+x2u9Pzj29XC6jG0MSw4rWPyWUYt4uOfjd1bFsWcF8dv28dlG5oMVFirF+44f+/j5u3/vuyHP2SOvpX3zKK653rwbde3zxr///h4Zn+Ga2MXYeh3H7AIMN1ATbGZ2746fD3fmsY6qFWlL0DVuEvZj+VcrXO2Ga1ZZKIzdsLLycL0GOLyfFIDN5gPeSbSsBvp8puXF4KD6ZjZwbqSdvj4PK1TG+mUaXNTyRuGwUe07piWiAcZ6I09+HmPpS0IIIYQQQgghRo42wEIIIYQQQgghRoE2wEIIIYQQQgghRoE2wEIIIYQQQgghRsGNTLCSZavNmzTUgzckmE3A8MrM+uRNPgpykHpFDkdeL7xpTw6Ka7Oy8iLojhwAXwzRxGYAg5qemEYUvRdvZ/L3guPef+/5JMrgJ1UUj1cTbxIxlDshTx6820KdojEKM/8pG/8te0QsX4KxQ+5jHZ08jWnfP/V1UNZEGF/5GNltmN3ElpFSMAfJYNq2zuyQdJ+2JrGyM4ntUCbvLFMS+4UK3t8Ro7VMDOLSxLfxvIi2NRMwb1pW0azke98HgzhirFCl+H700dvZJYeyQ5kGYq1TEROqBONDT8adJRiqlG00XyhTLBN+Xt7AkIKZ5m0TyZJV2X9j0YPJWBPju4JYfXAnGqi9+1Y0wXrzjn8XGl6ZmVVgDke6hQ1tF9J6MNwYcnx4DyYg03ks94M37vk8u7shz9vEy3EJ89FVS8wkC/++rowGch2Zaz459d+7uHwS8jx+6ue6ZHE8W61in7u8gjmamMfMK98IY/jL/Lrr7b3PTl3aaevbqy/juFrBmqcqYjsc7cYa/NaXj9z1l+7Efte3F+66G2Ig9il2mPOF79O/+p0PQp7jx0/d9S99+72Y5xP/vXf2Yxnf/dJRSDvc9WX66a+9HfK8cejnCLYsmVTxfQhZ8tgcpp/dKWm3gpj4gCEsNV+CdQPzGdo+cjBBCp+9iVEUdRXb4MZNIA9nxlihvUj7YZ5N2pgaVfGMz78maWztwooU24jZgL1YwMZn8xL8IDdtxTHMM0IIIYQQQgghhDbAQgghhBBCCCHGgTbAQgghhBBCCCFGwY00wM9+YY23+N98T3bJb8c/9bqk3MbfiRcWtSZD60Ua3RC1LlWC+4imsU1Rlzz0oEvLUUNYpAlck9+3L/xzSqLdsknURU1rr18rMjk4HQ6T7wqiZc5Rq2ag0anLeHL7XufrsiMH3n/vvfi+NbyuIjqavcrX0/7RC+grXjdyYanzWr4y+cpaE13h5Mr3jSHHWGkm8b668n+7Qm2rmYU/byWm9+2Yrt6XqWBaKYjXhx/GMnZL3+4dGW1SHcuN2rTdPaJjBA0u+7ZiiC/soU0K8jfAafbvH0qiPRlipbQDPLuI5R5AB1Zuu6ArRy+FAsfxPsbOFIR2dw+IlvZerN9dyEbnlc6PdSURAdc1GWtBr016nM1qP2dMiBbw7l2vYRzY8MjCAkJ1TaYjfFYc1c0W5NnvPwFNff9GyPOdD/zDj4+PQ56Ty1grx+feu+K8jW2JNgPXKzFff4ac7Kr3sTdU4O3QxBifwDhzby/G71fvx7Sf+aafn771bixTnWK8Iizuny78dbmOa65vL3w0njyNeU4GP/9dnV2FPJcXi5B2ALL2/SZ+x529L/kE8s8/VXH9vwkx14Y9eN3BTtTZ10UsdyKaUQR1wf2WTxlmz4a/66SzTANbQPsVxCOHDa4DJCVMYLfRuTu+L0Eauyu8jmTCT2Ghk1KM3wR1gtfPHo7lYZNLTDLIl8l9uYcRYyBrNdaWpS9UTrFSErQB09A/D/0LsBBCCCGEEEKIUaANsBBCCCGEEEKIUaANsBBCCCGEEEKIUaANsBBCCCGEEEKIUXBDE6xsA5hOZTAQqWbRTKqsvGnDkJlTFBFBZ283MJD9eg8OPZlYNNQ5GiJk+PTcx6oYwEAlo+GWmQ2X/v0TJl6vo7FRhUUiTkNdgrokB94XPTExAhOsXEZLkQm87uTDs5Dn6pSI1Sv/gUMVDWwO7vk89w/iwfXbRwqmDG3hTT8uiSMNephVk1jnE2LClMBtrS+jsUxKvt0L4pqQStLvsJ+VsY1PH/o8H39KzA8gpptyGfLcuRPT9u4duuu6iIYiAxgiFCQOc09cItAko4/9LnzJwMaPSAUGV9TIAvpwSUwrtotsGUx7LPs6qMi4dufIG/d96Y3DkOdwPySFCS0R5w40ukHjFDOzto1lGiBbLpkdjod5sGA3ZE8hniDBmIR9GxogFsSUhJmg7EAhyhzNhzowD2u7+OyLVUx7eO7nv4dncawqD/31/IYrk9eSZFZWvqEbMDe0uJyydunH/hrHHTObEFPAXXjWAXl2WJbELMRWzgynqC/dieZdx/t+HO+XsYxTMK8a+hiHq1Xsm2c9mGct45oLl1jozWNm1q/jJJ2hEw9kPVVDvO7MovFoU5M5qgvWTrFQmGPbpwyzz12wNnCGugZam+wxOHUz30tIHIiZ09DHtB7SBrIOQ2NINMs0i/NUScbxVMWBMwcTrutNwNDc6lnS9RVHTbDg29KGc1IC019mTDagMfENQ2QMXUkIIYQQQgghhNAGWAghhBBCCCHEONAGWAghhBBCCCHEKNAGWAghhBBCCCHEKLih1USyovcmBT1YIhzUcU/dlD7tahVtP1IZi5I6/+yiiMYGGUx86j6aLyzL6HYwGdAIJRoULEFRvYpZbL30z8l1NFGYDtE0AbwvbCBOKBnE8nUmrhXEEQGTSmKW8vTMm0t89/2oHr8qYptUpW+Dw8NoUnHvwa5/fx1NjLaO1FsuL3yS+XZv19HwCQ0Jco7tWZN26MA6J6EZgJk14PJRFsS8YyDPLv2zFpfR9uSXf9V/y2kmJm6N7zD3DuL3v/kgmoVMZ3s+IcUyTtDYgfgBFbTefH2nRAzGYCyoiJlWR4xQ0JBv0sU8uYc6KEnBt4xQx8nHZdfFuNjZPXTXh0esX8R3RYOPmCnDADmQaXAgZoo5geEiMdxg5lUhD1z3zHAL3fHMrGnA4GogLj7w/UWK/ZL91XsG2WZVnGvq2sdzM98NeS6Js9D3H5+76wd343wwm/pnlyOYMiZNZV95565LO1n51nn/40/DfevVwl3vVnEMbQ9j2gyWRmQ1Ydb5uGPxPCFrtX142FeJad2jT3wcnD55GvK0C7++6Pq45lstLkPag6/ed9cVMRXtYRorSAVM5zFxDSZGpEvZ2n+aLRaLkAdNMp+VCeaaFA0X0bhx6MlCdAtB06XcgwlVT0yR0ISKDJGZDNwtxH3bxjperzu4juui1TKmtXDfMJBOBUFVkPgtwXSxIoZXFTEmrGq8jzwb9hoFMeFia6UAqVs0vSqIU1VB+kZZho0MeR18L1kHPw/9C7AQQgghhBBCiFGgDbAQQgghhBBCiFGgDbAQQgghhBBCiFFwIw1wNrO2gAOb4afyTRU1uGUDWjh22Dj5DfgSfwI+RH0E6sA6csh0ncnh0KALXlosU49/H1jE35evBq9fK7qoIckzov0oZv6alLEGPWhKsYyNzUKawQHdl0TP8L1f8VqFs0X8gf16Ht+3t+t1ru+8EdtkZ/fAXWcUPG8lyXrQnGaIjYuzqHVcgxCpbIiuZRLrOCXfz2qiwbUStCcW9SmpjiKZdunb6x9+N5b74gJ0JUVs4/2DE3f9FRIrdw5i/BYNHPhONCMJ+jk7ON5SjPsJJA3kb4B96eM+d3FMa7p43wB+BG0T9fEljA9ld8OT2187ctD8YhyyuKwmEF+xCYxIsw1lYUOKOmycanrWBkRfhfexlrtegRwzTevYdwfiBZBB88ven0BhXJISsNG4h6F+uSRj1Qq0kER7enFxFtI++OzUXR/txjny3sEb7vogyou3jumksp/+ptcAf3LqB6jF5ZNw3+OnXgObiNBxtYra2csrHzFsrTSHuGfxS+MOEt+8G8f1b7x76K7Xi/OQ5/TEa2eZXnK+F4PjW9/4krv+6jtvhDwgoWf2KcaGgh50hh3pm5cw1F9dRQ3w1VUc58qEfYhoGFFDue1TxudkWMfiHmEgfgMojx5Ye5L7WvAbWhF9b9AAE1Og5SL2u+XSD64DKxT4nBRlnBMq8B2pqji3NbjXMrO698+uyXxToScSWU4WpL/gnMjGi5BG9nqJPLxADTCrNlhzZTq7fTH6F2AhhBBCCCGEEKNAG2AhhBBCCCGEEKNAG2AhhBBCCCGEEKNAG2AhhBBCCCGEEKPgRiZYZmYGZk1F8mYZJTnHe3fqExcX0RwmEYXzpPAi+IEIs/sBTQSY0UD8zA6dBHIUj+fsjQyePo7GBgsQmPcT8n5y8DSaRjTERAhP8e7IIc+lRbOSDpL+3q/EPA8XPq0mLjMPmmhS8dab/vrOwV7I0zT+W2pitrFtDH229VNvdvD4zMfCwyfx701t49u0JIeN53Vs937hY7GcxvbLtTdkqGwn5Dk+i0Znv/Ir/n2fnEWzB9vz8XOnjmV88w1vdrN/FGOlJAZfDRgy5CKaVgxgrFSSU9JLPCTdzNoaDUWI2dHg67InBmMVcVCpwXSrG6IRTF/5+i6HOF5sF9lyer4Z2/5+jMsMJiALEoIr5l0FBhvRbimaQGUy9jKfkg5MWYYhxqXBGF0TN5EGYo74/JBSmhmY7A0kdjf5izb7NvBpsa4lT6p8bS4uY6Oshlimp+c+3/sfH4c89/f8PL5bx7Fi29idJ/uv/4yv0/ef+Ouhj2ZO3/nAx8bxcazPk8sYm8fnfsw+b5kBob+OqyIO+tocHcQ8v+HHH7jrt+7Hfn9xjiZCcQyf7cZS3b/nX3hETNTqDZYhxJ/HEhiDrUm3X659p1qtY9/oupgW/LSIB1a4J4/ABStnYoLls/TE3BUNYJlzUk/aYdWCCdYqros2McG6uoprbUxjJlgJ5omijOMommDVdZzdemLC2zcwppAxeoA1TkU6S1mSNJw7yVyaoFMlttehHS8mXffsgj3nOehfgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjIIX0AD7368PCTRORJ6wv3fHXX/y6DQWhOipetCSNuQA8gp1wkT3l5joqfT5Tt+Pv93/+LHXATx8GrUnQ+2fnYiGs7uMv0t/+gR0AVEWbeWu1yVMicD6SaxK++Ajr6M5PYl1W858OXfvPwl53jiKGp2jO16rVU+jjqiEsNpA1vLas1oM9st/39f7p6A1YVrWHdS1dDHGjx9Grck5aHens3gA+3Ti3zecxJb4+DJqXcx82uEklmnnwMfm3btRe3J4cM/fM43xWxAtbYYxZSiJdgrqrSIGAR0ZjErQ+hekv6K2sqhiHfVFTGuT7wsVO7gdC55jH9t2sApaUk+Pz/yA+N5npL7XMeb2YEY7ICJGlKtX5M/ARLprA/y9OJP5COVNPfk2HAXYX6HJNGYFfAuRGRrK1XvynHPS5U9g/rlsYwUMyfffq1XUr2cyR3Wgy/r0OI5V/+i7n7nrotv+WaMwszk0/g5Ue5njwqDrfAO2pK4uVjHtIehrH56RufvQX8/JCjEFnaVZUcCHkLg/BF3u4Q4Z+wZII52DyfzwddRSJfue17OxnyyJsZudx6WiHUPdXq3ZvBLvG1hFAVHzu/19w8zC4JlhUBwS0wD7hmf7AabFXq99n1pTDXAPeeJ6boVmCma2XPrYYBrgImiAYxn7CtZzpB/i/uzzRHeViJeQoU8SWZexzhjWb+S+VBaQhU24scOGT2HfFpKkARZCCCGEEEIIIQLaAAshhBBCCCGEGAXaAAshhBBCCCGEGAXaAAshhBBCCCGEGAU3M8HKFpT8KDlORIR8b3/fXX9YT0Oe1ToaY5RwDHtO0dEkQ56BaKCbKpp1DGBgsljFZ5+dXrrrvrkMeeZgpND38W8KbRff/+FDf99H0/jsXTDdWj+N7gsX5DDw1Hix/J17sUyTPS+Ev7c3D3lmR3sh7XDi0xI5HDtBI6Ry+00bqsbsja/6Np2egfkBMW3Iva+rlhgklEPsGyswFpjs7oY8w5l/30l/HPLs7sa4P4BQqPZi+x3MvVnJzs5hyLMz9SZFdUmMQYghA5oU9RaNdXq4ryRmIl0RTZIMzPbY+4vk8xRs/CCHyRdgTjIhJknrwY99XYpGGttENrMW6ryEdimb2E7nSx+7f+cffRTy/ApxGZvCeDQl5opouMhsM3ZncY5KYIdDhr5AMAcyswL+7lxYNJwqSdou9LmeGLysYIg5JWZIx4tYJ59d+rSHi/hxC+iHe3finMGMWYrcQp7Y3h8d+4KfnX0S8mwbhZmhDdUMmn1Wxbqqaz9mN/M49l/2sY2///jcXT+4G02oZlP/7JL4VJVkjqpgHK1YrwITm4r0DTSkY12MGbsFMylmRgr2cz0Zn9kL0fTqo+gXah8/9Ou3k4s4118uiUHrri8DW79iUjTF2kKyRYOj4AW2QT1Q46SYhvsWZs6JhpllEZ+DfdPMbDIB8y62xkMTLOLCWJT+2VUV1yBVSeYS6GeJuMjFfdvNzKSeB1Y3teki80aPYxhpNzQ5yxuYyv0g+hdgIYQQQgghhBCjQBtgIYQQQgghhBCjQBtgIYQQQgghhBCjQBtgIYQQQgghhBCj4EYmWIWZTUBk3ILB0bKMhj0FmHccHR2EPB89jKYXKXshds5RmN2CQU0m5jRoeGVmVoC++vDNRXz/xGfKXRRqd70XnXfEVKdaRmE6lnuyE01XdqDYj+qrkGcvExOjwhtV5YNoyLA79/ftTo5CnmYSn11UYBCEFWlmRfLfm24oTH8dKSuz/Tv+O+e7YGBCDNJ6iNcqNpW1Ga1SzFLj+8LuNBqhLGcX7nrPoqHKrItpFbR7NYvlnk19mZoyxm/frN11l4mxAzEraQt/HxrdmZmVYKSTSBzWaR3SKjCu6HL8fjTGSl18djBdMbNU+8ZbFXEsyi2anmz73yCTWfb1MIAJx+OTOK410E4T4jh1RkxIJpDWEKOoEsw0SmLAUVk0JUxgckZeH0xsmOHIJn93rjKZx4aza589gFHkFZniL4fYD0/RPGsdY36F9xETlkzm2jxAzJNxaMAYGYPRj0WrmR6GrOUyGl+uwdgsVdGM7OLiLKR98Nmpuz7C+cnM7h284a4P4rRiVUXG8WuuzcwsGBeSMRvM38j0YEb6dIaMiZjIpeS/d02e3RKDrc+e+uvvfRjHq48e+XXvxSr2zY70xTKkxfvQ9GoUJljGDHbhmpiopcLnIr6blkg7YJwVpB0wXksjcwuZ86eNXxtl8uwE6wBmgpWCUVb8/rK8Pq2qiVFWhe9nZQxJob75fOdhhlcdM7gKRn4xTyZjwU3Y9tWXEEIIIYQQQghhZtoACyGEEEIIIYQYCdoACyGEEEIIIYQYBTfSAOeUrCv9LfhT8ZqcUl6WXu/64K0oLHlyHH+Xnjt4eBm1F9PCaxGHIYoo0xA1hHioctPEvwXcuePL2aNAx8wMdI0VltnMOnK6eQca4KaKOs+q9/dV05inJzqaaem1LlUTtT6o78WDuM3MiproUeB3+Nmi/qgvUcP5w/1O/3WgLArb2/Va96HzfaXPsa0StF+1moQ8K6Jv7WuvWWcHt+/VXms/SaRvlLFtpqWPs6KOzx5CvMQyzg01/ET7UcbYtAH1gDFLhjFlSNF7wEi/T/A3v1TGcufCPwt1u2Zcf4N6GOuIHhKEoylH74FtI8GckUCnyv4KW4CGj8iGrCdx0cGYmS3GfAlxSLqA9URzjJpfpsUbDPWuTLfkn91v6JFwdQXzH9FbZdB7dYn4T6Q47V+BPwHTZHXoydHHZw+0oXy+lowDLfSnjnX6LQQ/cwlLjI6MPVb5MXNxGWN8RbxQnp77fO9/fBzy3N/z8/luvRfy3IlTvh2ABQRrvaDHZHJBCA0m8SvIiJEg7takBAOMz5dkynh4EtN++Tvn7vrb33ka8jwEyXXb74Q8qSK6SvC3yGz9ip9LfGa2jhT1pHjN5o0yaFfJupbM3ZhWVTF+6srXe12TGCNNk0NJydyCZWLeIBv5hcQCYJXQtQvMd2Q7YGQqsRLvY9rhkLKZlrffaA744eYJ/QuwEEIIIYQQQohRoA2wEEIIIYQQQohRoA2wEEIIIYQQQohRoA2wEEIIIYQQQohRcCMTLEu9DfWlSypW4H7QRxOfAQx77u5FNfVb949C2mefeEeI0qKpTTH493XU1CamFSBgn1Tx2eXEmwH1fayuFgyfmjU5ZLuPRj+LxrsmMPF4AYYuu1QYH5Oqwr+vLmN9rwsvOkdjFjOzmgjMK6jKjtRthyYrmZiQbRtFsrLxsYjeY32OxhgZzJsmxLCsIOZVucQ6JcYCYFaCplRmZpZif60NDm5P0ahpgGelIcZYDzFVscPliUFcn7zBFRpHmUX/n8FivbHu0kM5hyp+W9X5ul1v2DdKeHZstVjumhgJbRUpBUeNoQPjtzLGoGVoPNIGPTNVgwrue2J4gkYhxGyDDGuWIVbZmNlBmZiRB/YL9h3MPGsovCljZoYjMPZiPzUza/uYtoLvXRMzFzR4KbCNjPvzDJAvZzIfgXnmUGy/0U8/mD0FX7MTuL5sidEYjNlXqzbkyaRPYd/49Di6QP2j737mrosutsO796MZ57tv+PH3KE51VjAXHWAFr6PxRB7Tg7HPmnjjnMFQ/9HjmOn7n16GtL/3q4/c9Xc+Og95rgZfJ0uytO5J3Jc4jxJjO5zbMzHT3DaSRfMmNLgqiZlTBXMNrU+ShvmYtVIPros9aYZEYrwssUwxT4LFCns/dgVmODiQQkWDKfJ0qBLWVdl6Knh3JVZySCNz4kDSmCFcfP8P92+4+hdgIYQQQgghhBCjQBtgIYQQQgghhBCjQBtgIYQQQgghhBCj4GYaYEuWCn8LykuzRT1KCT9B74r42i+9/U5IO1089AlE/FHCL+NL8vv+1uLv4ivQExekTEPpf4Ne1lFniM+piAa5S7FO5slrRoZEfrsPzZOJFrQk+tqMp1gTrUIDz+rJgeH0MPnK60PD4fZmVsJ964KcOL91RK1jD22DfcfMbNr5tK6JmtSSyFhQ/9cTzVwJ+sc0MGFW/BtYNmivIcY9Kswy095DX2yJ3jWxg9tB12+kb1SgdVxXy5CnIe8rIc5zJpp9iN+UmIad6IhAazMnGskFapfzD3eQ+ytPNutAR9iv/djTEP+FDINWx3S6pA16qM9E6hfniESeM5tFnSM+qidNh/rWvo/x3WJ9kD9DD0RffLHyY0Mi8TUMPg3j3cyMSI6thzopiO6+Qp0a0SKiFtPMrIA6YbpkfNZA3r9tnJx39lf/X15f+tmlr4eHOGCY2QJG370785CH6QOL3EKeOK5/dOz75tnZJyHP30cjEDPbhTXOb/mNPxny3N3375sT6X8PSyWqxSTz4QUM/4/P1yHPt7/zfXf99CquSx6exrTTSx/TC+JF01V+HknlNOSZF+SDqw08IGBuTzV5zhaCzYzyUqaWxrE8kfEoMb+dkI/M75AFl9nPnhMTqxL3Gi+mAUY/CdbH+z7uEXrQBWf6dJg3md0QSwuNQiaXjJcb6ITNLONcztbBIQ+Lii9G/wIshBBCCCGEEGIUaAMshBBCCCGEEGIUaAMshBBCCCGEEGIUaAMshBBCCCGEEGIUJBQRPzdzSo/M7P0fXXHEiPhKzvn+bRfiZaG+IV4iW9M31C/ES2Rr+oWZ+oZ4qahvCMH5wr5xow2wEEIIIYQQQgjxuqKfQAshhBBCCCGEGAXaAAshhBBCCCGEGAXaAAshhBBCCCGEGAXaAAshhBBCCCGEGAXaAAshhBBCCCGEGAXaAAshhBBCCCGEGAXaAAshhBBCCCGEGAXaAAshhBBCCCGEGAXaAAshhBBCCCGEGAXaAAshhBBCCCGEGAXaAAshhBBCCCGEGAXaAAshhBBCCCGEGAXaAAshhBBCCCGEGAXaAAshhBBCCCGEGAXaAL8kUkp/PaW0TCldfP7fL912mYR4FUgp/URK6RdTSqcppV9NKf3zt10mIV4FUkq/kFL6JKV0llL65ZTSH7ztMgnxKqC+IUQkpfRHUkp/O6W0Sin9udsuz+tMyjnfdhm2gpTSXzezX8g5/+9uuyxCvCqklCoz+4dm9p+Y2X9gZr/dzP4zM/uNOedfvs2yCXHbpJR+ysx+Nee8Sin9uJn9dTP73Tnn/+/tlkyI20V9Q4hISum/a2aDmf2smc1yzv/S7Zbo9UX/AiyE+FHy42b2JTP793POfc75F83sb5rZH7jdYglx++Sc/0HOefVrl5//941bLJIQrwTqG0JEcs5/Kef8l83syW2X5XVHG+CXy59OKT1OKf3NlNJ/67YLI8QrQPqCtJ/+x10QIV5FUkp/JqV0ZWbfNrNPzOyv3XKRhHglUN8QQvyo0Ab45fFvmdnXzextM/vfmNl/llLSXyvF2Pm2mT00sz+eUqpTSv+MPfsZ9Px2iyXEq0HO+efMbM/MfpuZ/SUzWz3/DiHGgfqGEOJHhTbAL4mc8/8n53yec17lnH/env3M83fddrmEuE1yzq2Z/R4z+91m9qmZ/TEz+4tm9uEtFkuIV4rP5QF/w8zeMbM/fNvlEeJVQX1DCPGjoLrtAmwx2fjPP4UYFTnnv2vP/tXXzMxSSn/LzH7+9kokxCtLZdI5CsFQ3xBCvDT0L8AvgZTSYUrpZ1NK05RSlVL6/Wb23zSz//y2yybEbZNS+g2f9415SunfMLO3zOzP3XKxhLhVUkoPUkq/N6W0m1IqU0o/a2a/z8x+8bbLJsRtor4hBOfzPcbUzEozK39t33Hb5Xod0Qb45VCb2Z8ys0dm9tjM/sdm9ntyzjoLWIhnjs+f2DMt8O8ws3/6B9w9hRgr2Z79pPNDM3tqZv+emf3RnPNfudVSCXH7qG8IwfkTZrYws3/bzP6Fz//3n7jVEr2m6BxgIYQQQgghhBCjQP8CLIQQQgghhBBiFGgDLIQQQgghhBBiFGgDLIQQQgghhBBiFGgDLIQQQgghhBBiFGgDLIQQQgghhBBiFNzo7Kid3b18ePfeD/3S9EM/4b8EXayZq3VK8Y0s7dpnG3HM3sBFm+fYwH0bnr1JmTcnP/fy2etjYh4Gdz3AtZnZ0PfXPuf4+Phxzvn+BgV9LZg0VZ5PG5e2SWuRaH2h929i5l5WZUirmyam1TUUKZYJ253FQR6uL1RK8W9wReHTEqmTF+8K2KdijmGDyizYjZDGyk1uCikffPjR1vSNnfksHx4euLQh+1jhceLrpSBxkgoSF3DfBs1ExyfWdJiE38Hf/7LiJMLmI0zj76cPe/61sXKySWOTpOvLzfjwo8+2pl+YmVVllevKj7UYirxWoB02beONBk1842Zj7yaxgXnot4U1F+MFB/8Xm5A3YpP4fdFnb3Lfen25VX2jaZo8m85d2ibjCDYyHSM3XOteex+5h60d8Nmb7EdeeE54wVN9NusaL2f/w9uEpQ2YcO272Id0bfuFfeNGG+DDu/fs5/6t//lNbqEU5N+d+dgMwUwqoG1bd911XchTVfEzm8nEJ5AFPD57GOKzh8Fv9gYjGwHacLgI7GMWuA83Bma8M2GuRHs8vL+P72/X65C2XvjjWxcXlyHP5cU5PKcNef7CX/jz78dCvb7Mp439jn/qWy4tJaz32H5hwTOQPOw+2BD0/fXTw8Gdw5Dn7XffDWkP3nrTXRdk43x5ufDXy0XI0y4hfnL8jkk9D2nzydRd11XcpOPeh3RxM4sxPZjvw2X8NFu3Me6Rpp6GtBIKUZCz6RO0JevT/6N//X+2NX3j8PDA/tC/+vtd2hXESreO42qCqWlaz0Ke2SSmVaW/ryTzCuw5bBji+GRFHMcx5lbtMuYp/PubehLzYJxYDEKMk2fP9gVohxinLcZ3E59TkqDP0AZpiBVXQzzn7vo/kJqZ9cmndTn2yw76aibt9sf/zX93a/qFmVld1fb1d37Mpa3Xvk5btixIvv0KDGgzKxoysFU+FjJZLebkX1iUMX6qIj67gthkf9RqoG/2JFY6+GAShjaQP4bFJU4sI34K22SwcuP6jf3hq0/4R39W8JgU1njkg7FMBSn3d7/7t7aqb8ymc/stv+W3u7Qe19qkHQxio6XrejL+wFgWlm5m1sMame011iuyZoZys/VUA324KWKfxvVjJms+LOOzfPB+Ej/Ypdm+ou3iPDlkTCPxCyvRNXkOW3OtW79OyGT/VUCnYnvLTz/56Av7hn4CLYQQQgghhBBiFGgDLIQQQgghhBBiFGgDLIQQQgghhBBiFNxIA2w509+YezYxlyK/QWeGJhsos4N4nNzEFLj4HczEp+18HtQgmEXtbn5BDTDTIGPJmVcMq7dgIMMMKTYw23iZllvbTkpmJQgOg76Xavg3iF9qRuav10RHifFCJCvWk7T1ysd0u4yZTk68zvviMmqAT49P3TWT7EybqAE+3Nv3eaYxD8popkTzVhP9Y4EjXh3zDKCtqZjGjomOQZuXiFau7XwlJFYpW0TX93b8FGLlwsfK6VMfJ2ZmBdTlfLIT8hxAnJiZNagfJ3/inU19exZV7F8sdlBDmIleL+jAqTgdTN42iBOzOGb3zKAInsU0nDUpE3oIBAMSi/4W1AiOzeMZv5f5VsDY+VINH19Nspm1sA5ZQzt0PRnDIFwqInyr6+ibkOrrNcDokVBV5NlljB8sQyKLFWx25luBMTWQOCC3heXTQHTmKCxn2vuBrITCWpGJeQuYM0ifZoaP4evImBI8XF7Q6Oh1oigL29nx834fNKAsfny992QcY2ulHsdbavwJWtb1KuRZkXXIGhZezIx0Aj4n+B3P3v/88piZdcS+BPXNzKch7iNi/2nInJjz9bp+3Eehb5KZWd8THw5su3S9LwffD30x+hdgIYQQQgghhBCjQBtgIYQQQgghhBCjQBtgIYQQQgghhBCj4EYa4GHItlzgj8xBV0H0KJjGdElEMhHOdKKyoIT6IqJvYufNLf3v99mZXnh+bdQgbKgB3ugEdKL5guuS1BtLq+Gcx5IdvI0HztNDvUkx8VHbL9XakBTiHHXlTLMR9IC0rZguGJ5C+l1Veq3jlOgoJ9O9eF/j83XkbLth8DFGjoy2k1N/Tmq3itqPqog6mqtLn29SX8X7YLyYz6PmbX8/nhO7f+C/jR3XiGdxDuxQQPItA563R0bXqO3c7g6Uc7K+9421gvo9OYnn6Q6tz9PUMcAuL2Mb1HieYhXrdwdiZW8/9ov9w6g7Rw+IVcu0gNDniRaxB+F9WccyrtfxPhwbciLnIkI3qKbXnyfJ6DtyVuaA+nX2HHZmOfgckE5XwgJg+1WOz+bcde/rtIUmpXMGjEdML102RKfb+FjgMmvfDk0Tx9VpHWMK1xx4PuczcD4k5+nieopoIdl6DuuxI30TJYT0/UxgDFrElhhnoL6XyDytobpgSCPVhn2RnYe6bSRLVuHaHs8hJ2vWEu6hZ96SOSFDSFekAXH8bdvYDxaruJ7Bs63Zs5sK+xnTAEOME5+Irotlwr3NQOIXazLnmKck+lrUWHfkjN8EVcL0vj1bY8HrmE1S2G+xBd1z0L8ACyGEEEIIIYQYBdoACyGEEEIIIYQYBdoACyGEEEIIIYQYBdoACyGEEEIIIYQYBTczwcrZlsvrTLCIIQMYJDAReFXHtIzGCvSQYxTKk4PM22josVx645W2jcJsTEODBjNmgvVi9h3MkKIsfSI7lL4hRiSYUpRE0L9JCjNkwgPvaZtst7EPIyWzEuoGDxwPhhe22Zn2LDbQACKz9gNjhaqZhjyTaTSKqquJu16t2eHm/lu6lphw1f7Zq1U0sxraWO6rJZgNddFYogDzBXLevVXNJKTV6G1EzH7Oz3w5af2T+r68XMB9sU729+64a9Y3t4mczVqIja4Fk746xuV67ds8E5O1YhHbrijAcIT8iTeDUUY1jcFTr2PH7CBWzi8uQ56q9PNKT0yMLi58fNV1jNO93aOQhmNtquL3T2a+bnG8NjPra2JwBS527SrOh2gwUqBzjJkVZP4NJpikTAamekPBTJS2jWQZ5u8ho4kavc3nIVmYUVQJc0ZJzIBqmDNm0xib82nsr9PSLyULsg5Cw5qOmYpCGdkYytZYa1jjdegm9uxp8K6Yo23jXLNY+vvWLVlPgRnppIp9oyqjoRjOW8z0rIWxqO+2/9+thr63q3M/vmIbs85R4N6CjUfEOLaZwFqJjFE1mL9VJVszhyTrKx+LVUkM6iqflohhGnbp3DMTudhf0byX+U2h0Sczweq7OAmjEReuC83MisLflyzOP5Zi2tWln4MGZtSLhl6kTZ7H9vckIYQQQgghhBDCtAEWQgghhBBCCDEStAEWQgghhBBCCDEKbqQBzsNgy0XUSPwgm2iA6ybqIwaiJ6oq0KyQ3+6jTpVpKFZBt2x2DvqCFTnAuu/979KpBjj8Lp1poEJSqCemi0KtNNOQDuxQb0xiWl7QwxCpjVkRw6MEbVZB8hTp+nJvHTkeVI6hwTQbWPFMs0dlwtCkmYhge9BBMS1838anL1f+vsUi6kFWS592cRX7zwDDy5BYvw9JVkIxK6KHKSGmuhT1VX2Keph178vADmU/Offftm7j+LFexzo5PTlz1y3J88Zb/noyjeXeJnLOtlz6Or5c+PrMpO0G0AQNfewXGCdmZmUCLRXRag+Fj4sux/djnJiZLUAXe3IWY6frfT9g8+XpqY8Tpl9/80sxrW5gHiUC551d/y1s7F1P4n0r8MQY+li5oW772HnLItYlelmQaTxoRvONViavL6j1Q533wLS0MLH0ObYVWwcNkC9nNq7699dkPmrIeFxDGzOdYTb41pjlhTXABayDBuKtUFbXa9G7LsbvbOnHAjb2o64UtdRmZiVZKw2wJuhJn+o6//62Y/rm7aIfsp2fe0+NFtYzce1tVmAcEk1oQTS4E/RrIfFT1dA3iM67JFGNGmDmrYO9gWn4cZ6g/YDuv/z3lqT/YlImY0pLtO8r0MznBfGLgW5Gy0jqpMC+TyZK7D83Rf8CLIQQQgghhBBiFGgDLIQQQgghhBBiFGgDLIQQQgghhBBiFGgDLIQQQgghhBBiFNzQBCtbu4rGHz8I03ejeRUTr9Nn5edfm0VBNRoRmZl1xDRgDaZXzAQLn0WF6YamDayMMQ3rpCLi+WCixP5eQUxO0PiEHaqNQvw0EIMxYiAwFF4cj4ZX9NnU7mK7GHK29RoO7u7xcHEi9EdDAGqYRg5OD9VODNLQ7IEdrk7uWy59G19dkQPQezRtiAUf4H1FMw15UklMuOBw9TTE9w/Qp1frOC41892Qtnvoy9CS4awdvIFJT8xi+j6WyQr/vlV3HrJ88NEjd71/EMu4TeQcY6PPMB8ww5rJzF1jXzIzWxBTN+vA6IeYOa0hvia7ByHPThFjdd35YGmHaLI2oEER8+iAOLlaXIQs73/4MKRhrEwbYmbV+titiONU1cT6Pr/wZRg6YvgI39Ku4rxalbFOJtDv0cDOLJrHpHqzNcJrTUphHYAmPmaxHQoY/Ks6mvFMZzF+Z3MfGw0xUUNjtQkxLCW3WQYzwY7ETwf9ddXG+MF+XtLFU0zCNQczWkUzxZrUW1MxU09/XVdx0qignBUxSEpkHsc1HjUvC0ZZZNzbMoZhsMXCG/NNZjvuGg3jzMw6mJc7YhSFZnBmZj3UcSILAzTGmpH4mTRx/MsZjTfj+5dg1Ht5tQh51ji3DfH7qzp2junEl6kkxrloVMxccXMZv/dy4ct5cnIa8qyWzzdONjPuhrrBPjEa2d3MFEv/AiyEEEIIIYQQYhRoAyyEEEIIIYQQYhRoAyyEEEIIIYQQYhRoAyyEEEIIIYQQYhTcyATLzL7A1eO/JBMR8gAmKAMxPRnKKAwfwCCCeFAFYyFmgkV08FaAIUKFhkFm1icQxqfrBdZMmF8SM6kaxOpVdDWyuvZlaiZRhF4T04YK0oLA3aLpCKukgbmObWBohW3CzJ+2jWRmCf6ehPFC6yFhXbGnx8RgiEbc1ya1Nz9oiEFDSYw5ytKbpQw5/p0MTSNmu/OQ590Hb7hrZnqyuFyGtPOzS3d9dRkNIZ48eeKuL67ic3YO432zhTe3WCyi2cXlEt3n4ve3uQlpHZhr9Cka0cxnvg2qehbybBvob7F3sOeu795/EO65AlOQq4vYlhfnVyTNx87T8ychz3Lt43D/Xoyd+irGxTmkhTgxsxLmlfUGcTIQw635LPansvKxw8xc1itfpqsrYqK0jP3w4sIblZydRWMuNGbpujgfVmX83kkNJlhkDilhPKtGYIKVUgpzdYOdhRlYNv6eehLrvG7iuN5Mfb4JyTOBNceErIsKdEMzs24FBleL2KcWEHcrYqiKhk/BJNLMCuLClWCtOGFGUTBHVk2sN7YOnGWYR4mxHBp9JmYiRCb3LjidkjGlxOubL9tfN8qyDPNEM0EzvVjHXfZ51mS/0g5x/OshptfrmKctfdqEmEIxs0Zs946ZYIGJ54KY8qJRFjPBms7iGi/sEVj/gUextSozE+7WaMwVsoSQ7kkdtdQQb4Dr65/NTIifh/4FWAghhBBCCCHEKNAGWAghhBBCCCHEKNAGWAghhBBCCCHEKLiZmCAbObDYXzOdQ4YfhmfyG3iWNvSgAaYSyus1wGyXzw48R1DnmIkWE39zHg9m5vpePLC6pnmq516bmVVE34tpJdPRoPSEHSBNNGb4G38mtcHD3Nnh7tsIxmKEaYeuh1Zf6Gfx2SVqwcnB7UFgZFEfz4QVBeiQ7hwehTzf+vFvueuWaD9OTs5D2tNjf5j6yZN4uDpqZBbk4PhMyo1am0uiVVuCNq2uo1Ysp1hvVtTPvzazAvSQRsaLrSIlKytfD3fv3nXX3/wJHydmZpegdzp5ehbynBzHtCcPveb3ahHjAodxEpa2WK1D2uXCx9yK6MQm4NOQE5lnMC6IbrYken2M57Yj8xGM2ctlHKCJdM4uL/3Afnoev//8yn8/02SR4cQmBXhpkPquYMypR6ABLlKyCfSNAtp4QuIng4aPaYDZWqXrcFwjYz80INPJWhcbvu39OHpxGTWMC/BpqCfR/6Ce+rjv+6gTbonQENdqHSljRg0j6eM7ZKxHL41E8vTQ79ZE33xFfCpwPmLaS9RBTyZxbNg2qqq0e/f8mgJjEX0DzKK+dNXGdli0JDbXMLaRGBugbRKbu8n417cQm/31GmS25htgzYcaWTOzluh0exioUyLrQNxHke+new30MCDjBerhe7JpYGlxHxHLFNfcpAGew5avvoQQQgghhBBCiGdoAyyEEEIIIYQQYhRoAyyEEEIIIYQQYhRoAyyEEEIIIYQQYhTc8ETtTMx3wASLCJUzWP3QPBuksYOfUbzNnsOMqdBIAA2DzKKgnvgThGdX5JBpFIqbEaMqch+mlcQoqyTfVkKdJGJMZiigJ/WGxhJmZm3n09gB1pjG8mwjKMgPZlLE8gqNFQpqixXT+uF60wTsq2iw8kWgvxPrG7t7/pD6+2++FfLsHxy46yUxDWJmUiUcMF8W8f1PnnizIzY21MQsJJW+vzCzGOx3O7s7IU9RRiOJ2cybquzu7YY8Vvl2K404CW0RZVnaAcTBGxArGEtmZqkCgxoSJ1UVDTfQKOQxxImZWQfjUd3EtkzEOBBjpW5Iv9j3bc5MbeZz/21rYtSSqhiXRfblZgYvazBcQUM3M+ppZ1dLn2/VsrHK1zeL3JRjnawH33YFM1eE62IYx9/mC/g3CByjiTWl4XxQEFczZsiIBqXMsDQOh8z4Mz67BFPEhhhFpR0fB82UmGDBuqgjTmstSwPTnp7U3Ar6/aQkZjzEQwfNeAri4oZrJdY3r5bRBGsBZn99F8s9nXjjxJI5zW0ZZVnaHoylGOblEOshQ39q1mT8W5KxBfrCkpivhb0GmyNIWoJ1e2mxb0xh/cLiAPcj67zZ2B7Mukry/QXuGeKDOmawBXHOjKoCzOCLLGCxTw3ErbKAtWFYcl/DOGYZIYQQQgghhBCjRxtgIYQQQgghhBCjQBtgIYQQQgghhBCj4IYaYAu/30YZCdOV4O+7M9GWbpI2bKBh5L9BJzo/+F0807XgT+dpHvh9P9P7NkwDDPcVJXk2pJXkt/tU14laH1a3eKg2qba+i/XWrvvnXpuZdZDWtdutczQzs5SCHjz2BSbUvR7Wp1ADjDp79jYm+eIv9JcN0dLOd7xu8+69eyEPyjoWV1fxXSQ2Z1OveVpMyfvnkOfqMuQhchxrKtTsxzzzXf++Bw/uhjw7u1G3ihqVnuhaLlbn7rprV7EAW0RVVnbnzh2XdnT3yF23XRwflgsfKwWJ3RnREGLszGfTkOey97FSkkCpiSdDDVLhyXQe8rz1pu8H9SSWcYBxtSOa2MvlRUhr115DeH58HPOAzhC1mWZmA+lzKM9vyXwwgN6KDSc90WoHHTTR6+MYV1Wb+RW8ziRLVkJ94RoHx3kGWwMUJKZx/VARwVxV+SBvJrH/lKThK/i3FLx+BmjoSd/EMqHu0cxszcaLtR9HF2Rc7QYf5D2bENl6Cub1bojaS9RHdqSMfG2MOkfmu+Lf1/fRs2DrSGYVeCygvw/ztsG4y2T8q4hmHnXVVSb9DvpUJuvxkvhCTM23F9ujtLWPl7IkGnroG4tFjPFiAw+iRL4/+MyQbtASPfUK5pt2GcuUs38f3aMxfS/4SZRE11+jXwzTNz8H/QuwEEIIIYQQQohRoA2wEEIIIYQQQohRoA2wEEIIIYQQQohRoA2wEEIIIYQQQohRcGMTrOtMr4Y+iv/RV6BnByoT8XJC0Tl18QHjGfJ+ltb11xsioLEQitDNomlEbqJQu6CHyYNRFf1bhH9fYs8ht4Vz2qn5EarcmekIM9iCtMzKjWnb/3eWZNEkDeOeerhhuJC2ysSQAR+FBlxmxGiN5GGGCGhS0KD7j5nt7u37a2JI1MFh7hfn0dinqYjB1WzXXa9m0Vhhf9+bUC2JwVaRmPmb7/d5iGNRDd18bz+atRzdOSDvg+GUtPdVC+VeRvOubaIsSzs48HU1b8DArF2H+y7Ofb3MieHUDom53bnPt38Qzcr63pt5sDgZSFxkML9pJnH63D/w79/djXGSwPgIh1Qzs6t1LPfiyvefipiCLKCPNVU0U1m38dsqyJcK8v1orhinQxvYhIQmmMQgCE2vWJ1sIzgml2jiQ02wrp+7SxyLzKwocD6IDViCYQ6LH+ZPVic0A43PxumnYCZCsOZhhmnMYCqY35AyLsIwE9+fmXMiGpQSo7eihnojBogdNbgCEyxisBWbeySdYwBjqGvWV8/uAXNQsnaiafAwbE8zsxoMrmqSp2niWqkAg6eqiO+vCn8fzhFmcR/Td+w72F4D9zFkjMa4p957bJwBE6oifn+Me2bax/ZWaN4V76uCqSmZlJ7D9u9MhBBCCCGEEEII0wZYCCGEEEIIIcRI0AZYCCGEEEIIIcQo0AZYCCGEEEIIIcQouJEJVjZihIEmWMyoCkTnqYv77oKYbqBWmonX0ZWrJwYJi9UypF0uF/4+YlCABkFoEGFmVoHofTKJphHDNBr9DI3PV5Tx2WWFxhLE6IgZSYDInejiidkScxRg7QRGGiUxhIBvKUqqqBcWzdC4+0BsGzRHqZvYDk3t465kbUUMEQboZyUxtmkgftmf0jow27k4i4ZP+7vx2+o9/7ApMxva9WZDi91oiIT9wMxsAGONrosGTKGeqLFEHGeCSR8xbWjwU8iYsk2kIsVYgcFnvYrGLxdn3sxpWsZxtZnH9p1N/Xh8sLcT8rQLb5hWkHZiZjRd59PyEMsUYiUxMyno4+T9k5rELsQK67s4LmQj8yqdo2+cxTJzqiJJOLdmahAE94xkyrjOVLQgY2+GtEQMr9BA08zMBjSYilkwfNn7KxZ3tW/4Eo2j6AtJkHVoGBS/IxEXrrr1dVCxcsNaifgMUROsBP1uSox+bPBpTcWMuuJ4gWZHRRHXqtgoFTGl3DaSxXUHmuIyg7QBBqCWmMh1zPAWxuCyinU8mfj11KSJ6/qaGY0OaLwZshgOnNUmazUybzDTPPxcZj4Xnk2+YzaLa6yhw/1fLNNq7efNjpggM2O7tgWzStI3cU8UYuQa9C/AQgghhBBCCCFGgTbAQgghhBBCCCFGgTbAQgghhBBCCCFGwc0FaOF353hIOPsNNubZ8FX443X6+3bQAA/xt+TrddT5rRZeA8x+g55Af1IynS78nn3oiTaQlBu1yqj3fZYGB28TvSBPg3IzXUIQdJHDqYlIpgK9UV1GrUQF+omBaL62kXhQN+i5yJ+bUAPEqmroo2YCtdiobTUzW619jDdBgGpW1bGNj0/O/X2Tacizt+M1uBOiS3r08LG7zqRvMA0u6i/n8/h+/JbpNL6/nkSNDupP2jbW7Qq0J9//8IOQ5+oq6pnfevCmu57N5yHPk+NTd/3e+++HPNtEWZS2t7cLab4jXDz1dWJmYaxvuxV5ehxX53OvU6pJfM93fDw106jNW60WIQ3niPPLGAPvv/+eu75z507Ig3GC46WZ2TH0HTOz773nn/2E5DncP3DXu7tRA31xdUbSvC563cZ+ue79+JbY2E+0lwk1Z0yXB2NcXce+s23kbNaC2LmHf5Oomjj2lTDWTcn4XNdkrQK63IIs/4oMmjqyWEvMGwS6WVHEiSz6szBvBcxyvabxWRp405B1aAH9jNVRRdJq8DCoWbkHXyc10fsyDTCujXqmj4d6Y54FWwlURQ/jBlny2Lr1eS5Xcd64JHP+kPx9DVn74lq3IVpapgHuN/BJImremCdh/2UeDDENPU2Yrh51/UNJ3j+Nz25Rs7+OdYvfH7xSjPtZoL53IPNG8EW64T/p6l+AhRBCCCGEEEKMAm2AhRBCCCGEEEKMAm2AhRBCCCGEEEKMAm2AhRBCCCGEEEKMghuZYCVL4RBl1DOXmeypMQ8RPDMRdCrwkGP2bP/waERECmlmPZjhsMOZDYTxKMI3M6vw44iJQe6J6QccDl0REyw0ZOhrYqJADuMemuvNs0r420fa0AQLDwivqlimGsrJTCu2jmSWgvEHtjsxFEE3MlJXwQzO4oHfLOyxT7EYK1KMTTSh6roYP/i+TYw5JuT9dUnizsAgron3TWc+xpiRETOtWyz9t62J+d1q6Q2AUoqmQRNiTtPfh2eRum2X3pTj8iw+e6tIMTZwjGahg7GCXhdmPHabic84IeZoGCts7un62OdWMGYPy2gUlQpv6DWbzUKeHDp5/I71YhnSMFauzi9Cnn0wvSoq0r9idwr56FxL5r+YhZiwwHUe2N/dfVpBDLa2jWw5jD8DzBFFGeu8RKMxYjyWyXxu2DakrQyMzgYyPg5k1Yjhwow/cR7DteSzG+GyJ6ZCxP2ogzT2aQXMB/U0rp2YoVgD66eCmDliwdmSpy7JegrS2Po1gxEYMxHaOnI0PVqDedVyFWPsauXH5AsyRq9ybL+ihnmjjHFQ4JzEmoHEBi4LafNh3yD9t4S0iqydrCDzHZi44bWZWQXryZaUkc2JA2yb+jXpm6vr91p914a0aJpKjIrDOjRkeS76F2AhhBBCCCGEEKNAG2AhhBBCCCGEEKNAG2AhhBBCCCGEEKPgRhpgS2Yl/A4+o+Z3g7OZG3LYeFPH365XtX8X04ygToBpKKbT+Ht+/B36uiW/QQ/PInoqEL+w36CzA5zxcHOWB9MyEbaE+jcLAhSmJwi/nWeaoQ10wahhMTMrQGSG11tJjtqcDJqFnK/vblzfw4QNoBkhmj3UemDfNeNx1/e+b6Qi9o312mtrJjOmx/R9GnW7ZmYl6dN9799HpLzWTPy31GRMYfWG+vSKaA1XQWtCtFtkvKqhvuuG6BihSKjF3zbykK2FWKmnvj4botPtB5/GJKl9H/VdOLAxDXAFgmLWd7AtzczK0qdhnJqZpcLHYck8EiAu6mazaTj4NhRkzgC9YE/8J/oNPAVYfcf+xOYVokcdMA+ZM/L18/i2kbNZ2/nvHhKMPS3Rm0Ja3cQ8bF5mbgvXkWgbb6DzJs/uIQ21rWZmA2iQ2brsak3SQB+6Jl4s2O9rMrE0pN4a6AyZ6KJDn2LrMqL1x7osSL1hG7DxajvxbbFaeV+E86tFuOMCPD6uuljnmRhKzGCcrsmeYTbxmnGmwa2IBnhAL6OQw6yHtX1J9Lao/S/JuprtkXC/VbE1OxSK9Xu2Ng1rXtLvouiZzD8kbUCtNvH8wPmGTD/PZSw9SQghhBBCCCHEyNEGWAghhBBCCCHEKNAGWAghhBBCCCHEKNAGWAghhBBCCCHEKLiRCVZKhdWNF4KjCLokRj8o9J8Rc5gJO5w5mGBFYTaa+LTENKEmhjWz2czfRw5nbvvrjarw+0kWLh4H0Teal5iZdSjgz7GMzDShhPrG689v9HnY30KYoD1wvcHWCPxMLFu2vkfTKzAIIG2cwWiM1TjxPovif1LJaJbBjA1Y3C+XK/+cNpb78vLCXU+ms5Cnhv473Yl50PzGzGzAOI9FtJyxb5JMzJAHDK5ovwfTpuUqmkagCZiZWQvmND2pt2bizTWa6STk2SaGobfLy3OXtgMmHJNJHPszGMaUKfaMnrR5sNtAIw12H3EuZPGEc0tLzHiWS2/Usm5JnMC4XhBzj2YWTViaKRi4kXkNh4F+iN+PBpBmZmtIQ8OiZw/HBNK/yACWgvkPGQfhUWPw+ck5WwcLhg7qtCrZ2sE3BDMVq6u4DptAvMzImms68WP0pInjU01MhBL0sz4YCZoZGPusVyQO174+rkieC5ifzMwWEL+ZrBV3NjDwZHadCY2NSJAX6IHF8pC1YZmvN59rwCSPrZW3jWwpGKmtYX69vIpxcLH0421HxvayimNrUaMxITG5hDwlM2UiJljM4Ok6BrJWw+U4G2txbGD52Fox4fxK5ltqMIVrTGawBWMRm8sxz7M0MJ8j9Yh7wpv67Y5gmhFCCCGEEEIIIbQBFkIIIYQQQggxErQBFkIIIYQQQggxCm6mAS6S1dfoD1C7ZWZWwu/Ep+QZE/Kbezy4nP0GHXWX7JBwpgGewkHXVAvYgeaL/L6/h0PRO3JIesfuwzSiD4k/eSd6ICI6HvrhudfPXufTqEx3k4OvXzDPNhL04HiON6tk0KigJvhZFiqsg2ez+7AvxDyrVdQxLhZex5hSzHMGGuDZzl7IM5t7/ViqSBlJ4KMGuGfaadCYMQ09k970oENr17HfL5YLfw8p4+nJeUi7vPT1hj4DZmYl6oiI/nWb6IchxEoNOsP5POoMyxq0PUwrTtql7UELSLSI6OWQ6BgakmwNmt+rxVXIg1pWFicL0K5V+3EaruoYFyXMkUVNpm/QYPVk7O3IxwWfAWYbEebWFzR3YNq5oGvdfuOInJL1MEYP8G8SiWjjamhjtr5p6tinpqAhnzIvFoi7uiLrMtI0qPnlU74v93q9DDnOYQw9J3rfy5assWAenRLtcgX+C5MJ0dnXUURYobcHWWMOMNmQJR+zGgj+LBURMRaYh8TEtpEsrpdm87m7nq9jJbcwkLWkzjMZW3LQecf7ShijCqa3Jc/GUqaKaM8HiKl1jPthwHU1eRfbR0BMUU8Z1MwTDf2ij+vA8ys/t3dkvsV5a3kZv43trfBT2P6vg1zFDfca+hdgIYQQQgghhBCjQBtgIYQQQgghhBCjQBtgIYQQQgghhBCjQBtgIYQQQgghhBCj4GYmWCmaYKHmu2AHT5d+n80Mr2piPoCmG+GwZjOzDkyESJ4SnUks2nfUQyxT2/tvpUZZYIyC12ZmRRvTOqi4AkXwhLIgh0WTg6fRQISZUEVjLFK3ePK2mQ1QBx2pEzT9CoZf20i+3vyLxWYKdUyMFdj7YscLWdjh4khLYnO98iYFHTFWuLzw5gerw0XIM9tB0xVmUBfNSjown1suo1kKViUbdxJxTUgt1ub1pgldG2P8/PwipF2A2dPR3cOQp4KxryZj4TYxDL1dXl66tP39fXc9IePabOLTmPELxomZWb7ybZXI2FeCwQeaNG5OjDk0yjo/jyZYF1e+PnYPdkIejBOWVhAzlWBmQvpFUca6LCEtlWw+gGtmgMgMtrJPi6WORn8FMWHZNlJKVoPpVDDaIaGJY13J8pBETGOGobh2QAMmM7NUEBMzTGKOT/CsNozFZpdgenWxiGP/iqxLCjATTMy8C+p6QgwIK1KX0SSP9A1iSBSykLQB7qNejhuYWW4bqUhWT/2YtAONU5TE3HYO8bOKhkvLPs7naJ6UiZktmkeVxIRwIGNigkZNrN+hCSD9t0k0CiQjKVsH4h6BrIt6MLhar9chz2oR13grMLJDk1Gz+G1oVGlm1hH3LtxHMCPMON/JBEsIIYQQQgghhAhoAyyEEEIIIYQQYhRoAyyEEEIIIYQQYhRoAyyEEEIIIYQQYhTczATLklVoloGGDMRFoASzjpIZXjHThpBEzA/A4AqvzbhlAJo7oAjezKzo4NnEEAKNQJjhVGb2B8EEi7gfYHmKWG8lSWOGQBEsN8lByoSGVszgapM828h1JljMw81CvBITAXqjh8VGPfEGUyUxEsrEBKsHI5uemJWg2c9AYuX07KkvDzGNKIpoAGQJ3j9E04T1ypsvZJKHmU10nTd3YH1lZ2cXHhSL2BPThqsrbxKxXkcDjul06q4ncL1t5CGHWOnABAPjxMxsAmaL8/ksPtviuNKCMRYauj270d/Hx7loAoLz2O7ubsiDY33bxjIuwEyEGdFNZ/F7JxOInUk0kEPDk4GMJ10mYzYYC6FxiVkchzJz7KGz7c1Ne4oRGP2UKdketGkHzTUQn5sGzASbhozrwZXKrIVxfVZEEyg0LI3OZ7zdCzCfYR5m6I/TEBOqGdTHYh1jNTOjGzAEGsiaIxgnkhijSydIIz4/lnEdTMxJmfnPMFy/DsM+nMfw71bJDL36Eqxx6irGDxqbVRexHc6JqeaAwUGM1tDoLBETrlSTvrHJNivjJYvx5xbHzMyqiozbkMb2WgNMQT0xAevJPEVd20IBrs/C9k0dlIFUt2WYX5mZ1vMYQU8SQgghhBBCCCG0ARZCCCGEEEIIMRK0ARZCCCGEEEIIMQpupAG2FLUOqAFGbeuzpGvuMaPiiyiPJL+Lh/vY4e5MVxl+Y8+eff2nxUPp2e/rmZAn5Ln+h/IFOfiafS+WiZV7M0i9BZ1r/M096m/GoAHOlq1HLeELabGZ9oTcho1KGrmE2KB9YwPtdyYHp6PmGLVMZmaLi0t3zbRqNfEMwPFieRUPYF8urvz726ivqqdRIzQHjdndozvx/UFPHet21UaNaAEa0US+rZn5Mk13tlsDbCmFcQvHg8XlRbitm3l9a0VEhayvLK98XKyXMXYyvJ/ppnamUYN7/85dd13XMb466Dsd0aYbzBFFHeNkMomCpwnESj2NGmDU+bOxH7VVZlGHnC3ONQnGAepMwIa86y0MwlCZmM5z60hBa11CZVXEN6ECfSnzOkAtuJlZ3fiYQj8CM7MZaM+nDRPzRi3gGvStA9EOl6Bdnpexj5XQp5rpPOS5WEUN57Lz72Pad1yXMN+KkuiSUeeYyFyHesyC/NsS09VHISeZo/HZxENn20gpei4UUO8FWTOXyfeX3Mcxkul7l+AdkckY2XU+xlcd2T6RZ6PmNrHYRA8Gto1J1+dheyucf5lvkEFawdZ8THOMezuy/8FpGtd3nyfGJBjXBrLXwCTm5/E89C/AQgghhBBCCCFGgTbAQgghhBBCCCFGgTbAQgghhBBCCCFGgTbAQgghhBBCCCFGwc1MsMyuN9/ZQOCciRkAs7zIYKSA11985/WgCRY7eBrF6vyMdDScIiJ0ZvAVzA+uN0xiz2ai92A6xppkg7ezOsE2YEYS0Shr+w1Nco7mPlXlDRiKFI1tsGaYmVSMFQvOAn0XzXawPANpB2YWggHTELOdvb09d80M2hKUu1uvQp7VKqaVENNnT49DnqsLb5xUE9OXkhg5lI3P19w9DHmqBoxXSAc6uzwLaZZ8X2CmYzn7Npk0xHRliyiL0vYhVtDdMJEQbNfe6Ga9jjE4kJg/OfaxsiImWHXh67wko998RgyCpjv+OZNo0NND+56TOMEYKEns5iGasMwmvg6aihgkQVpD4ouNx8GocAMzybIgywfybPzenOK3YR1MiEHT9pGDsQv6+pRkydN3vo5bYtiTSpIGcV5VcT5C46GKmXqSNi6gT6MZ27P7/MfUxNgOy9QQo7nqKpb7bOH7OfbDZ2UMSYFUXh/TBVsrohsPMzXlC0j/KrKeK8GkryD1to3E9SeYkTHjT6jQmqwBJlUcbwcYb5lRFMYvW5YVxPgy45qOjpGb7EfgXez7SfxWkMbyJDCxo2snUie4xiHdztoB9wzXmxmbxTGkKNl+BOYWYpT1PPQvwEIIIYQQQgghRoE2wEIIIYQQQgghRoE2wEIIIYQQQgghRsENNcAp/OYbNajsIGTcZjMtb0/lvfCbe3YQMmqXiCaV/VYeD6dmQrQBftDOZFH4U3mut71eX8x0JZiSqAaasIkuOzydCWTY+zBtE1329muAnwFa99iAgajHY21FDiWHtJL0O9TVlWXUTtV1bJsatIapiPdNZzN3fefOnZDn/AJ0Lf06votoTdZrfyj9chF1nN3KP6uuo0Y090QXDVqf2Xw/5Ln3xn13jbphM7PmSUzrQY9SMY0bfm6OZdwmiqKw2Y7Xyt45OnLXp2dErwfjSkX6xeU6xtMKYqWDWDIzqyZ+2hv6mGfIMS53QMt8940HIQ9qkh6ROClr6LtE/1QxvRPGCpkPE4wnA5tYiQYtwXgyEIEbarcKMmdSmSPkI5JnK7BOWKYtI1vUR6MGNTGddcK0GKvYns+edX3cofavJ/Ez4JrLzBL4W1QN0w77fha0kWZWwOtqqjOPY32CZ12tliGPgVa6I9rpVUfWj/l67WnQQl5vrfF5Gj6b9CloE7zeWjBeYT5NZOoMOneiW01kSCzgvk1GH7aqLcj7cM3B9jEDeutQ3xwIIDpvEH0vegKRfod5mKdKzTwn4HuZJ1DoL2wdTGoT92hlzW5EEf3N9hoj6UlCCCGEEEIIIcaONsBCCCGEEEIIIUaBNsBCCCGEEEIIIUaBNsBCCCGEEEIIIUbBzUywklkmIv0fJJr6RF1yT4XS7LlgosNMsEBgHg4kN7NED3CGNFbu4nrzA+ovhc+hBldgVrKRURT5Nppvk79rbGCoRU6OT5BWsDzXa/W3kmhWAeYDmz0lpATDNjMrEhpcNSEPGiKgQcQXva9de3eJdogmQVdoNtRFR4qjA292tF5FM6t2vQpplxcX7vrs7DzkWYMB0s5sJ+RhB74Pnb+vqePYsL/vn9VMY90u1xchbbH0xivJyKnw2ZvFDMSIZZsY8hBi5ejw0F3fObwb7sNYWa+jqc05iYuzc5/Wk/qd7Pr2ZIZXmZj/TMEM7fBgN94H4/jlMpYxGIUwIzRSpqGFbyFGVZjC4mvorh+zqW0imKdkMvbT8QvMbApiMVODO1xN+uVWAs1c1jBmkbE/gUENGmc9ey6JaWi/fohxtwJzQevi+IxGb2Zm9dQbU1VVbL91iyZu1499LApqEmNTqJOemahBGlurMvOhaJhK1qHhPrbmI2uu0O+IMRmaATFjsK0jGbY+hjRrq7gGI21MmgHTUiLGl7DGaoipaCLOXDjcsjYe0ISQ5QnfxtwEyVoxGBfHPBXUddXEGJtMpvG+xq8NuxzXioX5OmHrWbq3CiauJE+IgZvNG/oXYCGEEEIIIYQQo0AbYCGEEEIIIYQQo0AbYCGEEEIIIYQQo0AbYCGEEEIIIYQQo+BGavo8DLZcepOEAhyOKmJeUYJZBzdO2sAEionewfSqJOYDBRFYF8EkgZl3+bREjFGCeQgxSKCmCWAkwQwS8HMLIoxnRg6xjEQYj3nYfeTPIxmE6CUxu0DThoGI3reT59tcUZs3MCZhxjbsuQnqtKpiVy7RpIE0KDOvWoKZ0+ViHfKcnJy667PDaPZT7HuToG4dTU/Wq2iasDi/ctery2iANIBRV+7J2FDGPjXA93bEXMnA9CsRY4Wqim0ymaBJRXx/u/LvW12R928RfdeHWNnf3XPXu/NoroGxsiIxuLi4CmnrS2/awwxH0OCK9bi+je/rWng2MREyGB+bmrw/jL6xX6wW0XxotfCxkrsYXyWaqeD48iwx3gdjQx5IrQSfH2YKGd9XguFkRebjCvOQeWXbSCmO4wUaFxKjnbpGw6mYp2JGM9CAfUvMDSHGu1WMQ2b8uQPtVzTRONDAtKeoSRz2/uG5vz5WzMwKNAhicyZek65Bbd3ANCiTuMd1WCZjPzM6zVgqslRCM8eSGXxtGf2Q7eLKj6+TGvoKiQ1rfR0vV2QOJuMmGmqx9dS08f1uQvpdi0aFZlYVYHyZ47MzmEf1ZNwO+wFigsWMPzGNGU7h29i0wQymUoL3FfH70eORLNXo2hSnALbmKsBIj63VnsdYdiZCCCGEEEIIIUaONsBCCCGEEEIIIUaBNsBCCCGEEEIIIUbBjTTAw5BtsfSakAI1TwPRyw2oc4nPJmczW4H6WlKmcBveZGaJpGG52dMH0Biw5+BP16lulohNMG1g2uFwD3k4E7JAGtPs4KcUREtM5agZtafkt/sV6snG8HeWeHA7VmDPNEDPlw0/ezKNX1+nJdGs1I3XnqBe38ys76NmYwFaw/PzRchz/OTYXc9ms5CnXR66a6YnWy7P4rMfPXLXF2cXIc+k9t9G5CE2tFGjeXHm35dJnVydez0zk1w1dYzpuva6t5J4HZyDHvb05CQ+fIvo+s6ePHni0mpouyPQBJuZrRde37u4Og15jh8+CWmLSx+rOyQuUYO6WEa97/lZjMtq6jVgi4uoe6/nPgYmk9gvca5LOfbBs9OTWKZTXyam4SwhnlF/Zca9JOoNJrIe5ig6LpHJBnXBdB4NWtgNBsbXnJzNBvAw6QbUp8fY6CFP27E4iO3XwnhIhuOgqWNj9sD0taD5LUjcYxszvWL0ciB6X+LtgPdlspwqYLVYk/ezNAzFdoj1jcsnphMemHbYcI1JluQJ+8YINMD9YGdnfiyf1OglQOoKxrvVKg6ALYnfAvS8Neh9zcwamLeYtU3LfIpQ+858KQbf73qibx5g7c28fdAfwCz2s4FMCj14o7TrmGdN1lM4XhF7iaD53cS3yMyshLmETQk436AHxnWMYWcihBBCCCGEEEJoAyyEEEIIIYQQYhxoAyyEEEIIIYQQYhRoAyyEEEIIIYQQYhTczAQrD7ZceGF6WaLhUXzkAK+piBlAxRXO/l3MPCOhiQA5AJ45bAWzDiZe38QE6/o8aFhkZlbk4IQSywhicWYwwoyNyhLrLT4aq7tgbkzUX8vnY+2GacMIDE1SMiuCKQEY0pD7+mAIEHPF58a0qo79bjLxxiTsIPGeGHqs1t4E62oRzX6OT7wJFjM2OHvy1D/38jLkuTo/CWlPTx676/UyGrHcv3vXXfdHRyFPLmOZOvje9SoafC2X3oBp1jUhz3QS00owxhrIie+nJ75Onh4fhzzbRNd19hhMsNqVN516OpmG+67AYOry7GnI8/QkmmDl3rtwVA8ehDxo+NEPxNyjj8ZY66WPFYwTM7Ny4vvYfBa/DU0C18Rw5ITExQnEDhoSmpklMIYpiBFbQVwoC5gjmVELzivMuZJMR1YUvk1yisZO1OFyy8k526r1dVEliAUyZtcQm2VHxjnSNj2Y8WSrQx6cf7outtW6Je1X+jmjJ2uVuvFpk5qsZ3AdQsbQ9So67aw6n9YP8b4GzIAmxOho2sRxfeigvkn/QYOinpmX5TimYDET+TepsvLvK0dignV65sfXCmK6TGQcg/hhhmGpjm08mUFszKN5Iq7jMzGFwvnHzKyo/PtIlmC4S7xJLQ/4bcSAlhiDVRCvaLhlZjagCRcxZuxIwXHZx4ztCnCkSyQPtu2zMsHalLvy+ndtYCbs8t8otxBCCCGEEEII8ZqiDbAQQgghhBBCiFGgDbAQQgghhBBCiFFwIw1wHrKt4WB01AAb0RylkMa0Sxtod1keeD9ef/7wmBZPLo9ZwnPiY1CDWzBN7EA0G/C+gWmA8fftTHNF9Cj4e/qK6YShTkizRYGKmRn8xJ7Jq7FIpIhbCuoP4MNZfW4AUz6gHp5psZsJ6FomRHtB2qYoQJdWx3KXoFXr11Gn+9Gx1yz2RMvbt1GDvITD60sW93AoPZHMWN+xZ3utWkv0MI+fPPJ5UJdnZrO9nZA2mXhN2cXFRchzdu51pOeXUUe6XWQrzNffauG/+elDX99mZgPohLuWaHLXse0mDWhg66hzRH1g28VnXy2jNtzOT93loyex3Fe9j/H53jzkqUGDdnJyEl91sQxpF5e+TE0dNYwJNG+JaaLIWDGEOYIM7KBzZFrIROYxTCtInmIAnfBwMy3X60g2swHWARnmfKYhn+/4dkdNuZlZSbTDFXgUsPmghNmmXcS+sVrFcXzZnbnr80XsP/Nd/y2zaXx/jRrGPn5HuyK6ZNQKM50hjAUN0fuiXtLMDGeRhPO6Ra1pm8lcF6cR64fr/w2qrny9VRXTbm8XOZt1sA5ow5o93od1MyNa3p1pbPddmM/3dndDnmCzQjTANYk7lOhnomUdIK0nun4cEdmaj+mC0cuIaZDX0KeYL0XbxbQe1k8D6Rv4vag3NjPriOg5wRf3ZCwwmN8GupH5YvQvwEIIIYQQQgghRoE2wEIIIYQQQgghRoE2wEIIIYQQQgghRoE2wEIIIYQQQgghRsGNTLBSiqZXeF1Qy54EVy/v1HuUPGdiZjUQQ42guab39ZCFCKzhU5hRVcWE6YaH0l9/yHMwBTOzghh8oTaeeGCFv3wkYtCUmTEXiM6ZyQqanjBjlG0jWQoH1ndgGpBId6sKMO0pYp6+i3XcFt6ao66IoQgEQttGYx1mcPW1r7/trldtfH/TeNOIoY3POTv2BiorYoJVENOCg4NDd72/Hw2nju74PM0kGgJdreP3NjOf7/IqmrV874P3/D2PPg15yoYMncm3P2u3kycn7npFzCa2iaoq7c7dPZe2XvjYPXkc46Jb+thhpj537twLaQcH3rzk8Ogg5Cmg7VIXjTuaaYyn80tvavYr3/3Otffhu8wsmEm1xEzl6eOTkIY+P3uzaPBytfLxvFpHI7hMJgQsd9vFPBn6eM/cVIgzTZFxsiXjydzX05x827aRUgrjfQITpoYYRTUTb/RTEiPDmvSXpvYZmcHWtPIGQYmM6xdXzATLX68uSZ+GddhyQQw8wQQrEcMgZpiKlVCT+WAy94Z0JZkzmVNV7nz8Yhs9y+TLlPtYRuLzY7g0TSk+G83m0OR0G6nKwg72fXutYZxk3rZoDDibxTjY3Y0mWHszn1axNWv2jVWR+KmKaFC2AoOpgcVY9mmZ2Xri2pvEAfYxM7MW1hhsXdJ3/lkXZ7H/LtbREA83F5nsI1qYg1piXtnh5GbR3I99b4Y9Wsuc5p7D9vckIYQQQgghhBDCtAEWQgghhBBCCDEStAEWQgghhBBCCDEKtAEWQgghhBBCCDEKbmiCVdh06o0TChBBVzUR8ZcoZmbGBux96bnXZhY8N5jhVccMroIOm5hAwX05M9MPDzPBsoqYV6FTFXk/+mLxOiJlgHInZt6FaQX5tlhJljMag8X7Qhp7/7aRzLDpMX5o+wXzM2I+Q+vYP5v1O4wxNFowMyvL+Oz9fW9AQzwTLPf+fRdtNNtJ8P6BGEsw87cE5hLlNJpWFI1P65hBAqnwBGYpzDRhcXXpn3N2HvIMxJylw2cNrN+DyU0dTTO2iZTMpo2vhzX4jmGcmJn1aKRH/lab6jh9lWDmlJoYOx3GBZuPiHHhCkxAzheXIU8Gc8OemIL06IaTr48TM7MpGPuUTYydrvdlXBAjuJ6MAxkMVooqPntS+vpul6TPk3msBNOiIpNvm/r3NZMbLU1eS1JKNp3Aemri45Ubb/o0NF80i4ZXZmZTML2agymUmdkOxBhbFixWsd2XYJbVknJfLX3Hv2qj0U4afFpRxjjANahZNPTa3YvGiXuQNpnEGE9d7C9lmFvI2A9jfSbzQ0+MftAPLhHzsgJMsNAUaxup68reeeeBS1uDGWdBxuga+kJN5tcJ6S9oJsvWSh0aCjJTWtI2aAJbEONYHO6rJj57gDVXPSX9noybaNjJtigZ5s2GrLkWpL8O0M/x2sxsgDmQb6OImS9UCttbRaPi6/do7pk3yi2EEEIIIYQQQrymaAMshBBCCCGEEGIUaAMshBBCCCGEEGIU3EhoUxTJduZeaxHkVOR32qjxYhKGREpS4n1MqxVSmJaXHPxMtFmRm2tX6Rnl5HBzfDbqBJ6lbfLG6w/sZhrghN9P9ClUe2r4m3umEx6eez0WXkTDzrRD7D7sZ1Gn9OwwefdsopmZEB1l10G8ombR4oHrTDODepR+iNotNl7UoOeyOupRcgnaHqKZRC2xmVkFz6qbSciDmueB9I2eeA1Y9u8jTWkz1PwRzdf2gXXlY2VC9EaoDa+IbqsmWkBDzVdBNNYFaLJIfGGcmJnVoI8c1rHtBuwGZHxMdn2czKezkFbW2OfjfUGDy8bnIWo4cc5gMxYWsydatqGN7xugvXEOMTPrQcsVdNJbSFkUtjsDzTqMx+ifYmZWov8DWTxNmxg/OxBTqM02MyugHWZxeLQ37+2GtNXa37ci66tjsFK4WkVNIYYv80iYkvFiZ8fn25/HPFMYQ4owLnHtfQlay3bNPGUgxsn8wNZBA/ShmiyOUVe5Xse5dtsoimRT0KVWja+Hms3v0MYVaU9Wx9g2LdG79rAwyBvuD3D5XzJ9PsT0Xh/77xr6ZjWJMT4huuAa5o2BadhrnG+J3pbsI1rQZbfEMGYN2umujfHb98S7Cedpto/r8Fk3mzf0L8BCCCGEEEIIIUaBNsBCCCGEEEIIIUaBNsBCCCGEEEIIIUaBNsBCCCGEEEIIIUbBjUywyrKwnZ14eLqHCMNBzEy8F2ga+uMwoyhDYTY9iJkYEgzXi6XRoId5GEUPn02MuiLUICk8h4nuWZ3ANTX8gsOpmXkYMYnAuqR1O1ITrIRuB2hGRkzcSLiyJ4eUsvRdt6qiWUiFJhHESGgyYSZQ0F5tNM0ZwLSgI/1ptrfjrlPDTLCYIYTPN6GGQL7ceGi6mZkRs4UhQ58mQ2ABpj1GzH6YS1CJfZgMajtoelPe3GjvdSJZHDc76Bfz/WiqU059PGG8m5lNZzEumgkY/TTRKATH2tWaxHeODVxArBTM4ArnupDDwqRREKMjjBOzGCsNMVAr4f01id06kbkP85GwxHYciphpnUldQn9iU10L48majDlbR85WwriZBl85kzLGQQN9YVLFGG+IiVsDY31BDKbQeLQm7580sS+2HZpghSxhPlgQMyfsmzUxaayZMRYYCzFzxQLivl3F9zNjubLwZWDrsALSioIYbBE/vhLau5wQEyNIK0n9bxv9MNj55YVLQxOmKTGwbGC8z8Rwim42wjaC7CNw3KLL6pjYgUFaz+IHmrSZxWApMhp8xTgoyZwQjGtxffOslD4PmTeYsdvQ+W/p18QEEYyq2J6BbDUMl5Q93Y9Av7uhp6j+BVgIIYQQQgghxCjQBlgIIYQQQgghxCjQBlgIIYQQQgghxCi4kZggpUQ1GT/IQPWeL6YBRj0V/aE4vomKKom+FfWZRJiEz9pEp8sEThvddn2WL9AAM0Dfyx5+w9/Kf9Gzv0AIsUGe7eO6eOGx+fxnPHtOzIeaV6aBxbRE8qBmxsyshzIMRPC6WFy5a9S5mJkVFWh+iT6FCaNy4cvUDvH9q9Y/qyAHqa+IjLBt4VD4IY5nyXyZCqYBZvpP0M+x8QI11zkxPc72kC3GdAd6Qappw1gpY5wOKcYOxspyzUo1XJun6+KEhLFSEE8K1Fsx/XgCfWJJhIdMm4+xUpXMG8CnNVV8dm5if+qDZpJooKFfTmOT2LKOZep66E9EqDUDPTfV9G8d2frBt2mB4UPmgwy6t76LY9GKDH7Lxqc1pB1QQ1gTnTfT45cQP0TuarMa9a5Mg+yf3aCPhXHNPOqimRaz73xHH8gYvoknR0HmsQr+LWlKOsfeEP1zqgb1vbFOJlOoE9J/t42u6+3x8alLwzX7hKxdppMG8sRxdEbuqyHOqCcODuVMSkzlreA7QpqvLn27Z+KNUkNwUp076Rsl9POe+LXUMN+gD4uZWUX01Gm9ggJcv/9j8xYxU7ICxh5SJWEbQ5/9HPQvwEIIIYQQQgghRoE2wEIIIYQQQgghRoE2wEIIIYQQQgghRoE2wEIIIYQQQgghRkHaxJjn/585pUdm9v6PrjhiRHwl53z/tgvxslDfEC+Rrekb6hfiJbI1/cJMfUO8VNQ3hOB8Yd+40QZYCCGEEEIIIYR4XdFPoIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgIUQQgghhBBCjAJtgF8SKaVfSCl9klI6Syn9ckrpD952mYR4FVDfECKSUpqklP5sSun9lNJ5SunvpJR+522XS4hXgZTSV1NKfy2l9DSl9GlK6T9KKVW3XS4hbpOU0gX816eU/sPbLtfriDbAL48/bWZfzTnvm9k/Z2Z/KqX0m265TEK8CqhvCBGpzOz7ZvbbzezAzP4dM/uLKaWv3mahhHhF+DNm9tDM3jKzn7Fn/eTnbrNAQtw2OefdX/vPzN4ws4WZ/V9uuVivJdoAvyRyzv8g57z6tcvP//vGLRZJiFcC9Q0hIjnny5zzn8w5v5dzHnLOf9XMvmdm+uOQEGZfM7O/mHNe5pw/NbP/u5n91C2XSYhXif++Pfsj0f/7tgvyOqIN8EskpfRnUkpXZvZtM/vEzP7aLRdJiFcC9Q0hnk9K6Q0z+5aZ/YPbLosQrwD/gZn93pTSPKX0tpn9Tnu2CRZCPON/aGb/h5xzvu2CvI5oA/wSyTn/nJntmdlvM7O/ZGar598hxDhQ3xDii0kp1Wb2F8zs53PO377t8gjxCvD/tGf/4ntmZh+a2d82s798mwUS4lUhpfRleyYL+PnbLsvrijbAL5mcc59z/htm9o6Z/eHbLo8QrwrqG0JEUkqFmf15M1ub2R+55eIIcet83if+c3v2x9IdM7tnZkdm9r+4zXIJ8QrxL5rZ38g5f++2C/K6og3wj47KpHMUgqG+IYSZpZSSmf1Ze2Zm8t/LObe3XCQhXgXumNm7ZvYf5ZxXOecnZva/N7PfdbvFEuKV4V80/evvD4U2wC+BlNKDlNLvTSntppTKlNLPmtnvM7NfvO2yCXGbqG8I8Vz+YzP7CTP7Z3POi9sujBCvAjnnx/bMEO4Pp5SqlNKhPdM7/he3WjAhXgFSSr/VzN42uT//UCRpp394Ukr3zez/amb/FXv2R4X3zex/lXP+395qwYS4ZdQ3hOCklL5iZu/ZMz189wP/1x/KOf+FWymUEK8IKaWfMbP/pT2bO3oz+3+Y2b+Wc354i8US4tZJKf2vzWyec/4Dt12W1xltgIUQQgghhBBCjAL9BFoIIYQQQgghxCjQBlgIIYQQQgghxCjQBlgIIYQQQgghxCjQBlgIIYQQQgghxCiobpJ50tR5ZzZ1aalI7roo4p762ZnmP3i94QuDQRe5MV2b4wteuEEhMl6+mGEYe9NG3mObfNumL7wm08ZtshH5OVfP+Ozh8eOc8/2X+dbbZNI0eXc+c2kxemNNbNI3EknENJYHH8abmEYnXMVyh/glAR3uo3le7Nvo925AuI+VKRQ75un7IaR1XQfX/bX35SE+Z9W3W9M3iqLIZVFCKrQvGSASmUfis2MMTCYTdz3fmYU8zaR5Tmk+TyOJfe/bk43h2QZM2OzhG4CxWyQ2176cZ+cc4xL7waaz4Yv052GIT3///Q+2pl+Yme3szPPh4YFLG2A8YGMPW2MhiUQ13kfXapC2+VItP/fazGzAmNoggNg4ULD4wXx0rrld2Dy6Sf1uUu4P3v/+dvWN3Z18dHTk0sL4R/caG6yLNl9Jw7Oe/64venbMdv0+hvWfPFy/LnvRbwtP2XDNhW2wWX/drIz4fS9q2Pwr3/72F/aNG22Ad2ZT+x3/jX/CpTVN7a5nM78AMTNrJn7TXJexknCJZGY24IKDNUB5/aBehAVYTCPzveHatKcB59Nol8gxNS6m4rPLEjdH13ccMzOsAhrM+IeLarPFVFwoxUX+JpP4v/sf/sL7IfE1Znc+s5/97b/VpeHmhm2Am8Yvxus6xmpdxTRc6FdVHfKEBQ/pd0YW0bh46Ps2ZOl63Ox1IQ/eh3FhZpbJ+8vKD0s1+ba69mmbDtgpQV2ShfbQ+XK26xjjpycXIe3Jk6dwfULuO3fXy+Uy5PnVJx9tTd8oi9Lu7N51aQlG+yLHGMD4ZuPqfD4Nad/45tfc9W/8zb8+5PnK19/1ZSzZ2Bv73NnZmbtmMd92K3fNYr6C+M7DZrGLMd808ftxPGHPYeMxlqnr1iFP2/r+jHPYF1HUOMbF/jyBPr5cxvf/y//Kz21NvzAzOzw8sJ/7Q/+SS1ss/FHQGE9mZvP53CeQ/sPidzr194XnkDzsOQyMl7aNsbFcXsE9sf9gvNaT+Aes2SymTSHuWWz2EPasbwwvuE2OfYr9YTWWiZUg3LfBfuEP/St/dKv6xtHRkf1P/9j/xKWVpR+jptM4/k1gr4HjmhnfI2zS6tgX2LNZf8E0tknEvQ3rG6uVHwvYH+HD+uZZon8X20hCHlyDmZk1TdzbYV9kfbOB8b8q47MHUqY1rDFZnw73kef8d37rf+0L+4Z+Ai2EEEIIIYQQYhRoAyyEEEIIIYQQYhRoAyyEEEIIIYQQYhTcSANsKV0rMmemNuRBG74PNbDXa3Dps8ltQ48C65inB31gTw1zrv8NetrgPqpHgTwl00BvoH1knhlBvL7h30KiMJ3kgUSmg9s2hpxtvQbdWkYN8AbkqI9jYV8UqIdgOjB4NBW6xLZBs5KuixrgFtKYZiUPoHMnb+f6Jv/+stjAhIv1A1InxQbOcrl4/hj3RffFB13f71/U2OF1AnV1hfm4QD+CTWGaOkvQ59iYGRov5mHxjPpMvGZpP0oNJ9N7lWUN12xcj9+LWvSXpeE0M6snEOMz5gECOrmX68r4SjIMvS2uvJfA5eWlu161UQuNY0aMZ7OqakIaxgvVYte+/wwbeiucXfi4X6+v7z/9Os4ruC6ZzYjOkS0nYD2HWngzswqKzTxdNgk7NmYnKBSb15jPTCwC66/bv3561aAmbrCOZZpUal6FacT3ZBMNMPYp6sGQ4n043jODQyxTRfTFbN5AHTTrd0MF+wHyZNo1rt9aBZ+dm66n9C/AQgghhBBCCCFGgTbAQgghhBBCCCFGgTbAQgghhBBCCCFGwc00wGaWgi73xbSk5MnkXagvjoTfiZM8AzvrE/WJ5LfjPehKOjxIzsx6fM5AfpdPfnO/yaH0VQZdFD3TLKZhG6QN6pblCQfXW/xe1FKbxbrF620k5yGc04b6BCZi6DpfN/Sssz5qtTKIjPCQdLOoz6Dn35EO00F7rduoY2zXeO4j0Z7gs9nQQPSfTYP6eHa2t/+2ip1jXTJdMOphSJlQwLXhgffiiwDdM9Rnb9dreVl8m7F+gXorcq4m+i8QARKec20Wz2FE/aaZNJxsjEEd54tqOLeNvuvt6VN/dvjFhY+psiZnZsK8UrKz1ImGvIO5JXhWmFlV+JjaO9gPeU5PzkLao4d4BvrTkAcnAGLtEPxKZvN49iiuy8zM6trnY+erhzNLm9h/1j05/xrTyNCP9c3ONWUkov+PmTZ61FaRUiJrZPTmeLG9BvrYmMU+xXxr+h51uuRcZ7ZWKK7fx+Dr2HoK55+WvD+sOc0Mp072bXg2cTO5/szfz+90V1UZ+xSu1Zh3Ba4JzDbzElpDPd3Ub0j/AiyEEEIIIYQQYhRoAyyEEEIIIYQQYhRoAyyEEEIIIYQQYhRoAyyEEEIIIYQQYhTc2AQLjQvSzc4dfgY7LJpkC+ZV1AzgejMgZkjQdyB6Jwc/t2ga0UbROZoWURE2SavB3KKuozAca4UZjHAXn+tBfytWR9QEC76XmcX0HQrTR2CCNeRgKtKDScHQxfosS29s0BBjjm4yDWkYUszora6vjx9mCIFtygxFlktf7vU6GmX10KcSMbyqmjgEobkEC/Fk2F+ICRYxGMlpE7MLPPA+FoB9S1GBaR2p76IEY4+K9fvtIZvZgJ5iMB6UxDjjcunNpHaaecjTD8R4zQbMFMuU/fvbjhiOEIOgq4U3KEIDIzOZGLEpCo2MXtTEaNvIlq3tvZFYBzGdSIiXYFDDjHeoqSfEeZeiiRnWe0Pmnqur2DYff/ypu356HA3iMKZZjJewoJwvovFO35I+DUuMu3ePYp4NDHISWdCytAjOdeTZaK5o3Hw05tnuOeKLCEat1xjwPkvzdVXQPKS/hDZmfcpfszUXa07ck7D1DM4J1AQLjAnXbey/2MfN4pod1zdmca0y2cTU1MwmtTcrbKexTDWUqSjjnJhJxaHJV0tMF9EYjJnIPg/9C7AQQgghhBBCiFGgDbAQQgghhBBCiFGgDbAQQgghhBBCiFFwIw1wshfcMcNvx9lv4JkWkelYroP9BpxJP1AD3JHfzqM2jGmAMc9AnsM+uO+9VisPUQeHJ1gX5HfyLK3E+mbCrPAqVsb4m/uu82lMP4ea3xdpx9eNbGY9BFqIMaJhWCfUm8b6TCR+qR4cwL6A+lMz3u4taEsWi0XIs1x4HRhqMZ69H3VR8f3NtAlpGUSjRYrDVAH6tUTypIZocEH/s4kGmErHiI6oAE1bKonmC9IKoiXeLrIFXW4Y65nuDlM2PeAeYo5VL3SoTDwKMtEX49iO+k0zaThRw2kWdZwvquHcOnIOH15A/ZVVjI26hrUD8+8g+sSuW0Oe2A4XF14fznSWp6fnIe3hw8fu+vwsxth8tuuu6ybGTxHNSUIeJsmtKj/+7+3thDyTKdZb7PesL+JcS+sb/Vqo9jQkbaQBHi9YN7guIGtfaCumN2Vrp1SAdrhg3hHXlc8ss7EcfYrY/gfiPpOdVtXhWpGsXez6/Q+uU81in6LPJmkdapfJ/gv3CKmM8xaxG7I1rJeZL8TV1ZUvD9t/PQf9C7AQQgghhBBCiFGgDbAQQgghhBBCiFGgDbAQQgghhBBCiFGgDbAQQgghhBBCiFFwIxMsM4tK/iD6pq4jG+QhZgeYYyPzLGYIEe9DAwhmPoRmQOv19XnYQdTcBMuLxQciHs+9Nwji4vmYVqN51iaGSUSFvl6vr01DU6xnZdp+0ysOHHgOhjwDqeMB4i7WptmKmAaUrW8HZt6xiQkWM0RAQytmgrUAE6z1KpYRYxpNoszMBmbiVvq4b2pivlBD/yHfQQ+qB9MplgXT0ODEjJtdYP0WFTHhgiRq0rRFJDMr0JRvg/s2G0PIwI6OccxB7lpTrmhKYmY2ZBjbiYmOTIzYZOu/5UVNjLaNlJKVYIo3mfjYmM2iidl0Bsu2GIZ0rdKD2RszjFktLqGMsY0vLqJB2uWlv2+9joWaTnxs1EU0QDTz7yP+dNaRuWZ15eeodhlNGbv5BFJi3fLxGEw9yXgRTK9IjCcS+DLB+mJwWAzXG+w1mBlZWTDzPt+nWBvH8m2y1zHLpAwIjuUF6XcG72Oxw+YSTKNTKwQ+6/fs30uxDth6qocXMjOtgaThXgPXnGZmFxc47sQ9y/PQvwALIYQQQgghhBgF2gALIYQQQgghhBgF2gALIYQQQgghhBgF2gALIYQQQgghhBgFNzLBymY2gIlMBa4uBRGYY1oqong7EfOMBM9mRk1BPE6eXRLznwR7fyaeRhMhZhqBJljtOho09B0xS4FyNnVsirbxpg1zYnqyiTEWMwLA2zriNoFmSM/SltfmwXobgydWShYMTXqsdub+AuHKzBdYGhpqDcQQCI0U0IzAzKwnrgXoR9D3xJAH0tbExCDDs0vy/RV5fygmid+iqCBLHHcS6/dhvGKmFZBA+l1BzI3Q9KpqYp8ua1/Ooh3f3yCDUQcxqkronMX6zkbvImNvMKsjxoUppqGBGfZ3M5kYoYmRWTQyelETo20jJbMpjBENjCE7xAxsMvHrgqG9fl1kFg0XB7IuQaM1vDYzW6+jGc1y6dP6MPmZlWCCiGZwz8rkYyMTc9DFIsZ9CV2KGpZCTDO/tqKKY3aCDsrMrHAiHzbzRwrDGns09VracnLO1mF8QkUww9mhYqaHHmbGiSaifLZBE6rr1xefv/DaMuGcWFVxbC2rGvLE/sPeX0DnKIipKn5b08T347jDykDNs7IvEzPK6khi2/r2X63iWBTMWGWCJYQQQgghhBBCRLQBFkIIIYQQQggxCrQBFkIIIYQQQggxCm6kAd4EdpA4aiY2lTQEvR75ef+Az6YnmRPN8QaaMtQwMl0NHuocdAtm1hE9SgbNZt/F3+Xj+wumLyDfNoA+syBayAE0By15P+p6WNqSaLWiBngEImCLGqey7OGa6dN9F6yIBqkm+nBMq5uoB0F9Bjs4PpFOhbrgiuhBKtDfVESrNYAQCr+VlfFZ2gZ1AmVidcTuwz7E+jTCxpSqilqXCsrQsDaBtLJlepztIVuyDDrrYoO/u6IEmMPaDm9kecA3gsiWqJQL0lC/aSYNJ2o4zaKO80U1nNtIAv17Xft6nzYxOCcwhqxybGMav51/VyL6+AHSup55o8Q2xrmtJOPjzq6P+93decjTQmyuFzFWOzJmLhf+fctlLPcOfH8m4tpENOxFgv5K/FKCPpSsL9k8UmywDk10DNtucjbrMV5xzUx8R9Abha096Q4BfEZYW6HmF+8x414kBfQFvkeBNVdN/FJqv+Ypyzj+sq8rEqyniAYYa3JSMw1w9LOosUzMiyXUE/FdId1ggHUo21utwXOJ6YSfh/4FWAghhBBCCCHEKNAGWAghhBBCCCHEKNAGWAghhBBCCCHEKNAGWAghhBBCCCHEKHjpJlj8CGlMY6ZU16elggi8gzB9M4F1FMe/qFHT9c/J5MR1NJLImZiOgKC8baPAuyRuF/htiZpg+TKt6SHTC5LmTSlWxGwCTbDGQEopmC4NaAZGjJpKaBtmCsUOIJ/NZu66mcY8JZSHHdzOjCQK6GcsfqNJT4z7Dkx78EB2M7NmEr+3mVTPvTaLBjxoxmDGjarCmEId+cB8gxzuzgy2sJyTSSxTA8ZJy9WmloCvK9lyMNvBWCEuVAFmBHP9fcw4EA17BmKGQ/zqLGUfz2hgZCYTIzQxMotGRi9qYrR95NA+JcQ0N5DE8Yk9mcUGmKgN0WgMx/U0kPUM6YuzmY+Nsozz0eHhvrve390NeRaXPvBzF8u4Xl9vvLkkJmo9mINaJiaJKaZh/fI5A2EmWDEXJlHTps1euHWgCdJ11y+ax8wsYXttYOZbsDamafic6416SzK14TqExUrXsj4NzyFGVRm+raEmWLFP4zoMjRLNzAo0wSLzLZve8fvY9+J4tYmpqSvbjXILIYQQQgghhBCvKdoACyGEEEIIIYQYBdoACyGEEEIIIYQYBT8CDTABfvOOGkMzs4IejgxaVvLT8aiV2kwvEbWApEygiyI/nQ9pRC5oxg4736CYA+gJeqYlJj+eD9oE8rt4/K08kYLStA4S1+wwctBYjEHB8kwD7Bu/6yA4ibAwofauJppFoiPEtIroi1GnyjTAqYhasX6AZxM9IGoE8bB3sxiHFdVjxjR8H9WVQL2RM+m5Vgv6ImpfaFoR8+D7zWK5K9ZuG3ybeHmgRsks9ouOeBZE3XIcM5m+VhpO4kkBOs4X1XBuGzln69b+uwcYa5he2kCLl8kcnElMDwO8i6wL8FksT4FaWjNrShjrybA2hbmtIXNdxxZZANNwdp3/NuZtkQd8H5kP6QLu5rFIpgyahoujTfShYwGHzuuun6VdrwFmsRHsHMiCIixf2JqDrHEGKBPdIuB+hPkkwY0l8VQpiYdMXaMImAqc3WXTEG+Whvms+DIwz434bRE2T26iAd4kz/PQvwALIYQQQgghhBgF2gALIYQQQgghhBgF2gALIYQQQgghhBgF2gALIYQQQgghhBgFL2CChSLj667NyFHQGzyXpG0gcN70zHDMx8TbaNDDzIC6HkxtWvYcImiHA9eZGQ4auNTM6GiTNCL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      "text/plain": [
       "<Figure size 1080x720 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15, 10))\n",
    "\n",
    "for idx in range(20):\n",
    "    ax = fig.add_subplot(4, 20/4, idx+1, xticks=[], yticks=[])\n",
    "    ax.imshow(trainset[idx][0].permute(1,2,0))\n",
    "    cls_name = trainset[idx][1]\n",
    "    ax.set_title(f\"{cls_name}\")\n",
    "    ax.patch.set_facecolor('white')\n",
    "    fig.tight_layout()\n",
    "    \n",
    "fig.savefig(\"../imgs/svhn_vis.png\", dpi=400, bbox_inches = 'tight')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Partition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_classes = 10\n",
    "num_clients = 10\n",
    "seed = 2021\n",
    "\n",
    "col_names = [f\"class{i}\" for i in range(num_classes)]\n",
    "\n",
    "hist_color = '#4169E1'\n",
    "plt.rcParams['figure.facecolor'] = 'white'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# this class is from NIID-bench official code: \n",
    "# https://github.com/Xtra-Computing/NIID-Bench/blob/main/utils.py\n",
    "class AddGaussianNoise(object):\n",
    "    def __init__(self, mean=0., std=1., net_id=None, total=0):\n",
    "        self.std = std\n",
    "        self.mean = mean\n",
    "        self.net_id = net_id\n",
    "        self.num = int(sqrt(total))\n",
    "        if self.num * self.num < total:\n",
    "            self.num = self.num + 1\n",
    "\n",
    "    def __call__(self, tensor):\n",
    "        if self.net_id is None:\n",
    "            return tensor + torch.randn(tensor.size()) * self.std + self.mean\n",
    "        else:\n",
    "            tmp = torch.randn(tensor.size())\n",
    "            filt = torch.zeros(tensor.size())\n",
    "            size = int(28 / self.num)\n",
    "            row = int(self.net_id / size)\n",
    "            col = self.net_id % size\n",
    "            for i in range(size):\n",
    "                for j in range(size):\n",
    "                    filt[:, row * size + i, col * size + j] = 1\n",
    "            tmp = tmp * filt\n",
    "            return tensor + tmp * self.std + self.mean\n",
    "\n",
    "    def __repr__(self):\n",
    "        return self.__class__.__name__ + '(mean={0}, std={1})'.format(self.mean, self.std)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we only show \"feature distribution skew\"-\"noise based\" visualization result, since other partitions are similar with [FMNIST](../fmnist/fmnist_tutorial.ipynb)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021-10-14 16:51:04,076 - matplotlib.image - WARNING - Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-7-2c96a1669ce3>:16: MatplotlibDeprecationWarning: Passing non-integers as three-element position specification is deprecated since 3.3 and will be removed two minor releases later.\n",
      "  ax = fig.add_subplot(2, num_clients/2, cid + 1, xticks=[], yticks=[])\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021-10-14 16:51:05,859 - matplotlib.image - WARNING - Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
      "2021-10-14 16:51:07,391 - matplotlib.image - WARNING - Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
      "2021-10-14 16:51:08,934 - matplotlib.image - WARNING - Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
      "2021-10-14 16:51:10,511 - matplotlib.image - WARNING - Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
      "2021-10-14 16:51:12,107 - matplotlib.image - WARNING - Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
      "2021-10-14 16:51:13,684 - matplotlib.image - WARNING - Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
      "2021-10-14 16:51:15,524 - matplotlib.image - WARNING - Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
      "2021-10-14 16:51:17,237 - matplotlib.image - WARNING - Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
      "Label: 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x720 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "noise = 0.1\n",
    "num_clients = 10\n",
    "img_idx = 3\n",
    "\n",
    "fig = plt.figure(figsize=(15, 10))\n",
    "\n",
    "for cid in range(num_clients):\n",
    "    if cid == num_clients - 1:\n",
    "        noise_level = 0\n",
    "    else:\n",
    "        noise_level = noise / num_clients * (cid + 1)  # a little different from original NIID-bench\n",
    "    transform = transforms.Compose([transforms.ToTensor(),\n",
    "                                    AddGaussianNoise(0., noise_level)])\n",
    "    trainset_feature_skew = SVHN(root=root, split='train', download=False, \n",
    "                                         transform=transform)\n",
    "    ax = fig.add_subplot(2, num_clients/2, cid + 1, xticks=[], yticks=[])\n",
    "    ax.imshow(trainset_feature_skew[img_idx][0].permute(1,2,0))\n",
    "    ax.set_title(f\"Client {cid}: noise$\\sim$Gau({noise_level:.3f})\")\n",
    "    ax.patch.set_facecolor('white')\n",
    "    fig.tight_layout()\n",
    "\n",
    "print(f\"Label: {trainset_feature_skew[img_idx][1]}\")\n",
    "fig.savefig(\"../imgs/svhn_feature_skew_vis.png\", dpi=400, bbox_inches = 'tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.4 ('fedlab')",
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